Isabel Fernandez
Research Area: Computational Neuroscience
Undergraduate Institute: American University
Hometown: Queens, NY
Why did you choose AMSC?
AMSC stood out to me for its diverse range of research fields and connections. The proximity to Washington, DC, added another layer of opportunity, providing access to organizations like the NIH. What truly sealed the deal for me, however, was the genuine warmth and support I felt from both the students and faculty at AMSC when I came to visit. All this made it clear that AMSC was the perfect fit for me.
What are your research interests and why? How did you discover this interest?
My interests lie at the intersection of machine learning and neuroscience. While working in a post-bac position at the National Institute of Mental Health, I was introduced to the field of neuroscience research. Specifically, the use of machine learning techniques to analyze brain data. It was there that I found a new interest in machine learning techniques, and their pivotal role in understanding the brain. My work at NIH led me to my current research where I use neural networks to understand the brain’s visual system.
What do you do in your free time to keep a work/life balance during graduate school?
In my free time, I enjoy venturing into DC, spending time with friends, trying new restaurants, and reading a good book.
What is your favorite thing about the greater Washington DC area?
The Metro system is my favorite thing about DC! It makes it so easy to get around the city and is usually on time. As someone from NYC, I appreciate a clean and reliable metro system.
What advice would you give to incoming students?
As an incoming student, it’s okay to not know your research interests exactly. School is a place to explore and discover what you are interested in. The first year may feel like a big jump from undergrad and can at times feel overwhelming. But if you find a good mentor, work with classmates, and reach out to professors, you will make it through.
What was your favorite course so far at AMSC and why?
My favorite course so far has been Statistical Pattern Recognition taught by Dr. Behtash Babadi in the Electrical & Computer Engineering Department. The class was a lot of work, but the lectures were interesting and engaging, and I learned so much. If you are at all interested in machine learning, I highly recommend this course.
What has been the most interesting and challenging part of your research so far?
One of the biggest challenges I find with research is finding motivation when things are not going the way I planned. In research, you are constantly met with setbacks and stagnant progress. In such instances, I've learned the importance of seeking guidance from my advisor, whose insights often provide clarity and direction. Additionally, I remind myself that research is inherently iterative and not every result will be groundbreaking. Embracing this perspective helps me stay on track and when necessary, I prioritize self-care by taking breaks and taking a step back.