#Computer science and communication engineering

[nitte-university-blog]

Computer Science and Communication Engineering: A Comprehensive Guide

In the dynamic landscape of technology, the field of computer science and communication engineering stands as a cornerstone, driving innovation and shaping the future. This interdisciplinary field confines a wide range of topics, from software development to networking and artificial intelligence to communication systems.

What is Computer Science and Communication Engineering?

Computer science and communication engineering is a multifaceted field that combines principles of computer science with a focus on communication systems. Computer science, at its core, revolves around the study of algorithms, programming languages, and the design and analysis of computer systems. Communication engineering, on the other hand, deals with the transmission of information through various channels, including wired and wireless networks.

The amalgamation of these two disciplines creates a synergistic blend where professionals are equipped not only to develop cutting-edge software applications but also to design and optimize communication networks that facilitate seamless data exchange.

Educational Pursuit: The Journey to Expertise

Aspiring individuals seeking a career in computer science and communication engineering typically embark on their educational journey by pursuing a bachelor's degree. This program encompasses a diverse curriculum, covering subjects such as programming languages, data structures, digital communication, computer networks, and more.

In addition to theoretical knowledge, students often engage in practical projects, internships, and collaborative activities to gain hands-on experience. This holistic approach ensures that graduates are not only well-versed in the theoretical foundations of the field but are also adept at applying their knowledge to real-world scenarios.

Key Areas of Focus: Navigating the Landscape

Software Development: A fundamental aspect of computer science, software development involves designing, coding, testing, and maintaining software applications. From mobile apps to large-scale enterprise systems, software developers play a paramount role in shaping the digital landscape.

Networking and Communication Systems: Communication engineers focus on designing and optimizing networks that facilitate the seamless flow of data. This includes understanding protocols, routing algorithms, and ensuring the reliability and security of communication systems.

Artificial Intelligence and Machine Learning: Computer scientists delve into creating intelligent systems that can imbibe and adapt. This includes applications in data analysis, pattern recognition, and automation.

Cybersecurity: As the digital landscape grows, the need for securing data becomes paramount. Professionals in this field work on developing robust cybersecurity initiatives to safeguard against cyber threats and attacks.

Career Prospects: Navigating the Digital Job Market

The career prospects for individuals with a background in computer science and communication engineering are vast and varied. Graduates can find opportunities in:

Software Development Companies: Creating applications, software solutions, and platforms.

Telecommunication Industry: Designing and maintaining communication networks.

Information Technology (IT) Consultancies: Providing expertise to businesses on technology solutions.

Research and Development: Contributing to innovative technologies and advancements.

Cybersecurity Firms: Ensuring the security of digital systems and networks.

The demand for skilled professionals in this field is consistently high, making it a lucrative and dynamic career choice.

Future Trends: What Lies Ahead?

The field of computer science and communication engineering is ever-evolving, with several exciting trends shaping its future. These include:

5G Technology: The rollout of 5G networks is revolutionizing communication, offering faster speeds and improved connectivity.

Edge Computing: Moving computation closer to the data source for faster processing and reduced latency.

Quantum Computing: Inspecting the potential of quantum mechanics to decipher complex problems beyond the reach of classical computers.

Internet of Things (IoT): The interconnectivity of devices leading to smart homes, cities, and industries.

For those aspiring to embark on a journey in computer science and communication engineering, Karnataka stands as a hub of educational excellence. The state is home to some of the top computer science engineering colleges in Karnataka, renowned for their academic rigour and industry-oriented curriculum. Graduates from these institutions not only gain a robust base in the principles of computer science and communication engineering but also benefit from exposure to the vibrant technology ecosystem in the region.

[ominousvibez]

i know a lot of people tend to define dani/ellie's "obsession" as the ocean to go with danny's space obsession but tbh i feel like as dani gets older she's going to do a lot to separate herself from her identity as danny's "clone" and become her own person

like, that's why i love that the fandom has adopted the "ellie" nickname so much for her. i so wish the show went on for longer with more competent writers or the comic could expand on this maybe but i think finding her own identity and voice would be such a powerful narrative. you're made for one thing but you don't wanna do that, so now what do you do?

(tbh that kind of identity exploration is probably too anit-christian for b*tch h*rtman so i'm glad he didn't get to touch it)

it's canon that dani goes off and travels the world, so why not have her obsession be traveling? she's got a huge case of wanderlust. she likes the outdoors, she likes hiking and camping and is a huge granola girl. like, i think that kinda just fits her a bit more, in my opinion. traveling/exploration.

[teknewsfeed]

Virtual hologram meetings?

[truestfeeiing]

hiiii if I’m not too late, I’d love to hear your answers to 4 and 12 🫶

hiii thanks so much for the ask, empress!!!! no omg you're not too late, i love to yap about writing and also listening to writers yap.... thank you so much....... as you can see, i've written far too much for a light read below. and i hope you don't mind spoilers (for my own work lol).

4. a story idea you haven't written yet

MELLOBOT!!! i'll discuss it briefly. Basically, it's a sci-fantasy au where something similar to the Kira case still goes down, but a Terminator-esque war between machine and humans break out (advent of AI, etc etc). Near creates a homunculus of Mello with the help of Gevanni in exchange for his services as an AI and android scientist, and so Near inadvertently becomes drawn into the side of the machines. Mellobot, as i've affectionately dubbed him, is an amalgam of developing AI and tissue engineering, so Near raises him from birth, essentially, and this time he makes sure Mellobot receives all the love the real Mello never got. As Mellobot grows older and learns the truth of his existence, the tides of war shift to the human side as AI technology destabilizes. Near has to grapple with his growingly complicated feelings about Mello, his believed-dead love interest, and Mellobot, technically his son but maturing quickly into the face of the man he loved and a painful reminder...

and, of course, who stands on the other side of the war, taking down war machines and thwarting cyber attacks? the living, breathing Mello!!!!!!!!!! Screams!!!!!!!!

it's a story that i have shared one snippet of, and i plan to end it at its climax. It will be Quite the longfic, it will be pretty angsty but more like, depressing and bittersweet? And philosophical? But it will be exciting, and quite sexy at times... heheh... /gets shot I'm happy about the idea because it incorporates a lot of sci-fi themes I love, but i admit that i need to read and research more before i can truly get started writing it.

12. a trope you're really into right now

100000% came-back-wrong stories. as you can see, both ikiryo and mellobot (temp name) are came-back-wrong stories, in a way. i just find something so deliciously tragic about reuniting with someone you love only to find them not quite the same as before... and how to fill that space of uncertainty: will there be new love, or will it destroy what little love remained? is it more painful to start over or continue a charade? pet sematary by Stephen King is a pretty good exploration of the psyche of how someone reaches a breaking point where they're willing to win back love, in whatever form they can get, even if it comes back not quite right (disastrously wrong).

some forms of came-back-wrong i really like: androids/robots breaking down/getting corrupted, ghosts returning from the afterlife, someone who gets irreversibly changed by their trauma, amnesia...

full list of asks here, i will answer any and all of them with burgeoning enthusiasm

[jcmarchi]

Interactive mouthpiece opens new opportunities for health data, assistive technology, and hands-free interactions

New Post has been published on https://thedigitalinsider.com/interactive-mouthpiece-opens-new-opportunities-for-health-data-assistive-technology-and-hands-free-interactions/

Interactive mouthpiece opens new opportunities for health data, assistive technology, and hands-free interactions

When you think about hands-free devices, you might picture Alexa and other voice-activated in-home assistants, Bluetooth earpieces, or asking Siri to make a phone call in your car. You might not imagine using your mouth to communicate with other devices like a computer or a phone remotely. 

Thinking outside the box, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and Aarhus University researchers have now engineered “MouthIO,” a dental brace that can be fabricated with sensors and feedback components to capture in-mouth interactions and data. This interactive wearable could eventually assist dentists and other doctors with collecting health data and help motor-impaired individuals interact with a phone, computer, or fitness tracker using their mouths.

Resembling an electronic retainer, MouthIO is a see-through brace that fits the specifications of your upper or lower set of teeth from a scan. The researchers created a plugin for the modeling software Blender to help users tailor the device to fit a dental scan, where you can then 3D print your design in dental resin. This computer-aided design tool allows users to digitally customize a panel (called PCB housing) on the side to integrate electronic components like batteries, sensors (including detectors for temperature and acceleration, as well as tongue-touch sensors), and actuators (like vibration motors and LEDs for feedback). You can also place small electronics outside of the PCB housing on individual teeth.

Play video

MouthIO: Fabricating Customizable Oral User Interfaces with Integrated Sensing and Actuation Video: MIT CSAIL

The active mouth

“The mouth is a really interesting place for an interactive wearable and can open up many opportunities, but has remained largely unexplored due to its complexity,” says senior author Michael Wessely, a former CSAIL postdoc and senior author on a paper about MouthIO who is now an assistant professor at Aarhus University. “This compact, humid environment has elaborate geometries, making it hard to build a wearable interface to place inside. With MouthIO, though, we’ve developed a new kind of device that’s comfortable, safe, and almost invisible to others. Dentists and other doctors are eager about MouthIO for its potential to provide new health insights, tracking things like teeth grinding and potentially bacteria in your saliva.”

The excitement for MouthIO’s potential in health monitoring stems from initial experiments. The team found that their device could track bruxism (the habit of grinding teeth) by embedding an accelerometer within the brace to track jaw movements. When attached to the lower set of teeth, MouthIO detected when users grind and bite, with the data charted to show how often users did each.

Wessely and his colleagues’ customizable brace could one day help users with motor impairments, too. The team connected small touchpads to MouthIO, helping detect when a user’s tongue taps their teeth. These interactions could be sent via Bluetooth to scroll across a webpage, for example, allowing the tongue to act as a “third hand” to open up a new avenue for hands-free interaction.

“MouthIO is a great example how miniature electronics now allow us to integrate sensing into a broad range of everyday interactions,” says study co-author Stefanie Mueller, the TIBCO Career Development Associate Professor in the MIT departments of Electrical Engineering and Computer Science and Mechanical Engineering and leader of the HCI Engineering Group at CSAIL. “I’m especially excited about the potential to help improve accessibility and track potential health issues among users.”

Molding and making MouthIO

To get a 3D model of your teeth, you can first create a physical impression and fill it with plaster. You can then scan your mold with a mobile app like Polycam and upload that to Blender. Using the researchers’ plugin within this program, you can clean up your dental scan to outline a precise brace design. Finally, you 3D print your digital creation in clear dental resin, where the electronic components can then be soldered on. Users can create a standard brace that covers their teeth, or opt for an “open-bite” design within their Blender plugin. The latter fits more like open-finger gloves, exposing the tips of your teeth, which helps users avoid lisping and talk naturally.

This “do it yourself” method costs roughly $15 to produce and takes two hours to be 3D-printed. MouthIO can also be fabricated with a more expensive, professional-level teeth scanner similar to what dentists and orthodontists use, which is faster and less labor-intensive.

Compared to its closed counterpart, which fully covers your teeth, the researchers view the open-bite design as a more comfortable option. The team preferred to use it for beverage monitoring experiments, where they fabricated a brace capable of alerting users when a drink was too hot. This iteration of MouthIO had a temperature sensor and a monitor embedded within the PCB housing that vibrated when a drink exceeded 65 degrees Celsius (or 149 degrees Fahrenheit). This could help individuals with mouth numbness better understand what they’re consuming.

In a user study, participants also preferred the open-bite version of MouthIO. “We found that our device could be suitable for everyday use in the future,” says study lead author and Aarhus University PhD student Yijing Jiang. “Since the tongue can touch the front teeth in our open-bite design, users don’t have a lisp. This made users feel more comfortable wearing the device during extended periods with breaks, similar to how people use retainers.”

The team’s initial findings indicate that MouthIO is a cost-effective, accessible, and customizable interface, and the team is working on a more long-term study to evaluate its viability further. They’re looking to improve its design, including experimenting with more flexible materials, and placing it in other parts of the mouth, like the cheek and the palate. Among these ideas, the researchers have already prototyped two new designs for MouthIO: a single-sided brace for even higher comfort when wearing MouthIO while also being fully invisible to others, and another fully capable of wireless charging and communication.

Jiang, Mueller, and Wessely’s co-authors include PhD student Julia Kleinau, master’s student Till Max Eckroth, and associate professor Eve Hoggan, all of Aarhus University. Their work was supported by a Novo Nordisk Foundation grant and was presented at ACM’s Symposium on User Interface Software and Technology.

[orcelito]

I do find it so funny that I will graduate college days away from my birthday. Like my birthday is literally in between the end of the semester ("graduation") and commencement

It really will be like a joint graduation & birthday party for me lmao

[dilamo]

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[sageuniversitybpl]

Unlock Your Academic Potential: Pursue a PhD at SAGE University Bhopal

SAGE University, Bhopal is happy to share that we are going to conduct entrance exam for our upcoming PhD Batch 07 ( Spring 2023-24). Important dates and details of the entrance exam is given below. Apply Now!

More details visit website: https://sageuniversity.edu.in/

[mitvpusolapur]

Planning to Study BTech in CSE or AI? Here’s What to Consider

Computer science is one of the most popular choices in engineering today. Artificial intelligence is also growing fast. Many students want to choose between these two. Both offer exciting careers. The key is to pick the right college.

What Makes a Good CSE or AI Program?

Some colleges just focus on theory. Others go deeper. They focus on skill-building, projects, and modern tools. That is what matters in the tech world.

Before choosing a college, check if it offers:

Programming practice from day one

Labs with real tools and software

Courses in AI, data science, and cybersecurity

Hackathons and coding clubs

Mentors and industry projects

MIT Vishwaprayag University (MITVPU) in Solapur offers all of these in its BTech in Computer Science and Engineering (CSE) and BTech in AI programs.

What’s the Difference Between CSE and AI?

CSE gives you a broad view of computer science. You learn coding, databases, software engineering, and networks. AI is more focused. It teaches how machines learn, think, and solve problems.

Both are useful. Choose CSE if you want more general tech skills. Choose AI if you're more interested in machine learning, automation, and data models.

Skills You Learn in These Programs

At MITVPU, students learn by doing. The focus is on:

Python, Java, and other languages

AI tools like TensorFlow and Scikit-Learn

Projects on real-world problems

Data science, cloud, and IoT basics

Teamwork and problem solving

The programs aim to build a strong tech base. This helps students get ready for future jobs.

What About Career Options?

CSE and AI open many doors. Some students join tech firms. Others work in banking, healthcare, or product companies. Roles include:

Software Developer

Data Analyst

AI Engineer

Cloud Specialist

Full Stack Developer

MITVPU helps students explore these options. It has tie-ups with companies and offers placement support.

Final Thoughts

There are many BTech colleges for computer science in India. Some also offer AI. But few give hands-on learning and career support from day one.

MIT Vishwaprayag University offers future-ready programs in CSE and AI. Its learning style suits today’s fast-changing tech world.

If you’re looking for b tech artificial intelligence colleges or the best colleges for b tech computer science, this one deserves a serious look.

[woxsennuniversity]

Woxsen University is recognized as one of the top B.Tech colleges in India, offering cutting-edge programs in engineering and technology. Its B.Tech curriculum is designed to equip students with technical expertise and problem-solving skills through a blend of theoretical knowledge and practical application. Woxsen provides specializations in Artificial Intelligence, Data Science, and other emerging fields, ensuring that graduates are industry-ready. The university’s state-of-the-art labs, experienced faculty, and industry partnerships create a learning environment that fosters innovation and career success.

[hotzimbabwejobs]

Shape the Future of Tech: University of Zimbabwe Hiring in Computer Engineering, Informatics, and Communications - February 2025

The University of Zimbabwe is seeking passionate and qualified individuals to join its Faculty of Computer Engineering, Informatics and Communications. This is a fantastic opportunity to contribute to the cutting edge of technology education and research. If you’re an expert in your field with a passion for teaching and innovation, we encourage you to apply! Departments with Openings: Analytics…

[nitte-university-blog]

The Importance of Embedded Systems in Computer Science and Communication Engineering

Technology is evolving rapidly, and embedded systems are playing a crucial role in shaping modern innovations. From everyday devices like smartphones and smartwatches to complex systems in automobiles, healthcare, and industrial automation, embedded systems are the backbone of many technological advancements. 

For students pursuing computer science and communication engineering, understanding embedded systems is essential as they bridge the gap between hardware and software, creating intelligent and efficient solutions. Many CS and communication engineering courses focus on embedded systems because they are integral to modern computing and communication technologies.

What Are Embedded Systems?

Embedded systems are specialized computing systems designed to perform dedicated functions within larger systems. Unlike general-purpose computers, embedded systems are optimized for specific tasks, making them more efficient in terms of power consumption, speed, and reliability. They consist of microcontrollers or microprocessors, memory, and software that control their operations.

These systems are used in various applications, including:

Consumer Electronics – Smartphones, smart TVs, and wearable devices.

Automotive Industry – Engine control units, anti-lock braking systems, and infotainment systems.

Healthcare – Medical devices such as pacemakers, MRI scanners, and blood pressure monitors.

Industrial Automation – Robotics, factory control systems, and automated machinery.

Why Are Embedded Systems Important in Computer Science and Communication Engineering?

Embedded systems are essential in computer science and communication engineering because they power many of the devices and networks that define modern life. They are used to develop efficient, real-time computing solutions that improve performance, security, and communication between systems.

Bridging Hardware and Software

Embedded systems combine hardware and software, allowing engineers to create devices that function seamlessly. This knowledge is crucial for students in CS and communication engineering courses, as it equips them with skills to develop and optimize systems used in various industries.

Real-Time Processing

Many embedded systems are designed for real-time applications, meaning they process data instantly without delays. This is critical in sectors like healthcare, automotive, and telecommunications, where real-time responses can improve safety and efficiency.

Security and Reliability

Embedded systems are designed to be secure and reliable. They are used in applications where data protection and system stability are critical, such as banking systems, surveillance networks, and defense technologies. Engineers specializing in embedded systems ensure these systems remain robust and protected against cyber threats.

Career Opportunities in Embedded Systems

As industries increasingly rely on embedded systems, career opportunities in this field continue to grow. Graduates of computer science and communication engineering programs can explore roles such as:

Embedded Software Engineer – Developing software for embedded systems in various industries.

Firmware Engineer – Working on low-level software that controls hardware functions.

IoT Developer – Creating smart devices that connect to networks for data exchange.

Automation Engineer – Designing and maintaining industrial automation solutions.

Network Systems Engineer – Enhancing communication protocols and secure data transfer in embedded networks.

Conclusion

Embedded systems are a fundamental part of modern technology, influencing everything from consumer devices to industrial automation and healthcare innovations. For students enrolled in CS and communication engineering courses, gaining expertise in embedded systems is valuable, as it opens up diverse career paths in software development, automation, and IoT.

As technology continues to advance, the demand for skilled engineers in computer science and communication engineering will only increase, making embedded systems a key area of study and innovation.

[rankiirf]

Best Engineering Colleges in India: Leaders in Innovation

Indian engineering colleges have always impressed students with their placement records, academic education and facilities. These colleges form some of the best engineers, mentally and physically prepared. Computer, electrical, mechanical and civil engineering are some of the specializations these institutions offer, training students for the rapidly changing world of technology. The best engineering colleges in India have a reputation of planning for engineering of tomorrow and engage students in productive activities which solves real world problems facing society today. Thanks to their excellent placement rates and relations with industries, these colleges are the first choice for engineering aspirants.

[shamar123]

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SHAMAR ADMISSION CONSULTANT is one of the leading consultants in the field of Higher Education in Medical, Dental, Para-Medical, Nursing, Physiotherapy, Occupational Therapy, Pharmacy, Engineering and Technology, Management, Infotech, Computer Applications, Hotel Management, Architecture, Law, Education. Best Admission Consultant in Bihar. call now- 7070750800

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[sirtbhopal]

Best Engineering College in Bhopal, MP, Central India - SIRT

The Sagar Institute of Research & Technology (SIRT) is a self-financed private engineering college in Bhopal, Madhya Pradesh, India established in 2003. Approved by AICTE and affiliated with RGPV and Barkatullah University for engineering and management programs, SIRT offers undergraduate courses in various engineering disciplines and postgraduate programs like Thermal Engineering, VLSI, Data Science, MCA, and MBA. It is accredited by the NBA and boasts a strong placement cell, expert faculty, and comprehensive student facilities, including hostels, a gym, and sports amenities. The institute emphasizes holistic development through value-added courses and extracurricular activities.

[jcmarchi]

Machine learning and the microscope

New Post has been published on https://thedigitalinsider.com/machine-learning-and-the-microscope/

Machine learning and the microscope

With recent advances in imaging, genomics and other technologies, the life sciences are awash in data. If a biologist is studying cells taken from the brain tissue of Alzheimer’s patients, for example, there could be any number of characteristics they want to investigate — a cell’s type, the genes it’s expressing, its location within the tissue, or more. However, while cells can now be probed experimentally using different kinds of measurements simultaneously, when it comes to analyzing the data, scientists usually can only work with one type of measurement at a time.

Working with “multimodal” data, as it’s called, requires new computational tools, which is where Xinyi Zhang comes in.

The fourth-year MIT PhD student is bridging machine learning and biology to understand fundamental biological principles, especially in areas where conventional methods have hit limitations. Working in the lab of MIT Professor Caroline Uhler in the Department of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society, and collaborating with researchers at the Eric and Wendy Schmidt Center at the Broad Institute and elsewhere, Zhang has led multiple efforts to build computational frameworks and principles for understanding the regulatory mechanisms of cells.

“All of these are small steps toward the end goal of trying to answer how cells work, how tissues and organs work, why they have disease, and why they can sometimes be cured and sometimes not,” Zhang says.

The activities Zhang pursues in her down time are no less ambitious. The list of hobbies she has taken up at the Institute include sailing, skiing, ice skating, rock climbing, performing with MIT’s Concert Choir, and flying single-engine planes. (She earned her pilot’s license in November 2022.)

“I guess I like to go to places I’ve never been and do things I haven’t done before,” she says with signature understatement.

Uhler, her advisor, says that Zhang’s quiet humility leads to a surprise “in every conversation.”

“Every time, you learn something like, ‘Okay, so now she’s learning to fly,’” Uhler says. “It’s just amazing. Anything she does, she does for the right reasons. She wants to be good at the things she cares about, which I think is really exciting.”

Zhang first became interested in biology as a high school student in Hangzhou, China. She liked that her teachers couldn’t answer her questions in biology class, which led her to see it as the “most interesting” topic to study.

Her interest in biology eventually turned into an interest in bioengineering. After her parents, who were middle school teachers, suggested studying in the United States, she majored in the latter alongside electrical engineering and computer science as an undergraduate at the University of California at Berkeley.

Zhang was ready to dive straight into MIT’s EECS PhD program after graduating in 2020, but the Covid-19 pandemic delayed her first year. Despite that, in December 2022, she, Uhler, and two other co-authors published a paper in Nature Communications.

The groundwork for the paper was laid by Xiao Wang, one of the co-authors. She had previously done work with the Broad Institute in developing a form of spatial cell analysis that combined multiple forms of cell imaging and gene expression for the same cell while also mapping out the cell’s place in the tissue sample it came from — something that had never been done before.

This innovation had many potential applications, including enabling new ways of tracking the progression of various diseases, but there was no way to analyze all the multimodal data the method produced. In came Zhang, who became interested in designing a computational method that could.

The team focused on chromatin staining as their imaging method of choice, which is relatively cheap but still reveals a great deal of information about cells. The next step was integrating the spatial analysis techniques developed by Wang, and to do that, Zhang began designing an autoencoder.

Autoencoders are a type of neural network that typically encodes and shrinks large amounts of high-dimensional data, then expand the transformed data back to its original size. In this case, Zhang’s autoencoder did the reverse, taking the input data and making it higher-dimensional. This allowed them to combine data from different animals and remove technical variations that were not due to meaningful biological differences.

In the paper, they used this technology, abbreviated as STACI, to identify how cells and tissues reveal the progression of Alzheimer’s disease when observed under a number of spatial and imaging techniques. The model can also be used to analyze any number of diseases, Zhang says.

Given unlimited time and resources, her dream would be to build a fully complete model of human life. Unfortunately, both time and resources are limited. Her ambition isn’t, however, and she says she wants to keep applying her skills to solve the “most challenging questions that we don’t have the tools to answer.”

She’s currently working on wrapping up a couple of projects, one focused on studying neurodegeneration by analyzing frontal cortex imaging and another on predicting protein images from protein sequences and chromatin imaging.

“There are still many unanswered questions,” she says. “I want to pick questions that are biologically meaningful, that help us understand things we didn’t know before.”