This is my third year as a PhD student at UC Berkeley, advised by
The PhD journey is made possible with support from wonderful
people at Berkeley and beyond, as well as from the
Berkeley Graduate Fellowship, the
LLNL Secure Biosystems Design SFA, and the Microsoft
Research PhD Fellowship.
My research contributes to the machine learning basis for
the design, engineering, and interpretation of proteins. More
recently, immunology and immune repertoire data deeply fascinate me.
A motivation close to my heart is the understanding and healing of
immune system disorders.
One topic I'm curious about is the intersection between immunology
and women's health. For most autoimmune diseases, there is a
higher prevalence amongst women. Many autoimmune disorders tend
to affect women during periods of extensive stress, such as
pregnancy, or during a great hormonal change.
Additionally, I'm also curious about the immune system's role in
the healthy gut and in digestive disorders.
Prior work experience as machine learning engineer at Google
Brain and Google Health (2018-2019) helped shape my
interests in human health.
Deep gratitude also goes towards
Chris Umans and
for their kind and inspiring mentorship during
my time at Caltech (BS 2018).
In 2021, I had a fun internship with
Lerer and the Protein team (led by
Tom Sercu) at Facebook AI Research.
In the student community, I currently serve as a Seminar Chair for the UC
Computer Science Graduate
Entrepreneurs (CSGE) and as the lead editor for the
Berkeley AI Research
Google Scholar /