I am a graduate student at Carnegie Mellon University interested in
using computational modeling and machine learning to explore the
functionality of neural circuitry, as well as the fabrication of devices
to record and modulate neural activity. I'm currently rotating with
Dr. Pulkit Grover and
Dr. Doug Weber. For the past 4 years, I have worked under
the supervision of
Dr. Caleb Kemere
Realtime Neural Engineering Lab (RNEL)
at Rice University. To read more about my research, both past and
present, head over to my research page or check out the adjacent video!
Labs Worked With
When I got to Rice University, I realized I had nothing figured out.
Classes were hard, I had no clue what my career path would look like
— the impact my mentors and TAs had on me were incredibly powerful
in those early years. I strive to help students navigating their early
years of research or a new academic field, and come to love the field as I
My experience is as follows
Rice Center for Engineering Leadership's IOT with
Machine Learning & Python
Teaching high school students how to utilize realtime sensor data,
along with the immense data available online, to create predicitive
unsupervised machine learning algorithms and utilizing JSON/HTTP.
Computer Science, Neuroscience, Research & Writing
Academic Fellowships at Rice University aim to identify students
who perform exceptionally in a certain course, major or field that
may be able to provide free, on-call academic aid to students who
reside in their residential colleges.
Teaching assistants are selected by professors on the basis of past
class performance, understanding of material and willingness to help
others via grading and weekly office hours, as well as exam review
sessions. This is more specific than a Fellow.
As a hopeful academic, I see it as my duty to help the next
generation of neuroengineers by taking undergraduates under my wing
and helping them identify any opportunities that may interest them.
Check them out
to see some awesome future neuroscientists!
Below, I have included some notes and course resources I've put together
for classes I have TA'd and Fellowed for at Rice University.
During my undergraduate career, I have found enjoyment in the intersection
of the fields of engineering and neuroscience, the former of which I’d had
little to no exposure to until coming to Rice. However, I have become
deeply interested in how an engineering background enables me to further
probe and interact with the brain, ultimately allowing for more innovative
methods of decoding neural activity. In the Kemere Lab, I am working to
understand the role of the hippocampus in both spatial navigation (see
RELevator) and learning/memory (check out Shark-Wave). In my graduate and
post-graduate careers, however, I would like to move more towards working
on decoding the underlying neural activity of memory and consciousness,
ideally to the point of understanding where replication through computer
simulations becomes feasible.