Career Story
I began my career at the bench, building a deep foundation in
molecular biology, protein sciences, virology, cell biology,
structural biology, bioassay development, and translational research.
That scientific foundation led naturally into hands-on therapeutic
and preclinical drug-discovery work, including anti-HIV interventions
spanning small molecules and novel bi-functional
antibody-recruiting HIV-envelope attachment inhibitors.
Alongside my experimental training, I developed
hands-on expertise in computational biology and structural
bioinformatics during my PhD and postdoctoral research,
using computational approaches to investigate biological systems,
protein structure, and drug inhibitors. This early integration of
computational and experimental approaches has continued to shape
how I approach complex biological and therapeutic questions.
I then transitioned from doing science in academia to
leading scientific teams in industry, working with
biotech and pharmaceutical partners while advancing drug-target
programs. As the scale and complexity of my work grew, my role naturally
evolved towards scientific operations, program and portfolio
management, governance, resource planning, stakeholder alignment,
and scientific strategy in a large research enterprise.
Today, I am looking to bring these complementary capabilities
together in AI × Biology and next-generation drug
discovery—leveraging my deep experimental and translational
biology foundation, computational biology experience, and ability
to connect scientists, programs, and technologies across disciplines.
