I'm working with a world class team to build a holistic intelligence platform for experiential learning.
In 2023, I rejoined the Allen Institute for Artificial Intelligence (AI2) to help launch the Scientific Literature Graph as a standalone product. As the product manager responsible for the APIs, I wore a multitude of hats, including quarterly OKR planning, prioritizing tasks, communicating our plans to the scientific advisory board, engaging the scientific community, among others. In the past, I led the Semantic Scholar research team's early efforts to develop innovative AI-based tools to facilitate access to the scientific literature such as the literature graph
[
NAACL] and
supp.ai [
ACL Demo].
I occasionally teach courses at UW linguistics as an affiliate faculty member.
As a senior research scientist at Google, I developed semantic parsing models for Google Assistant and helped develop transformer-based models for generating DNA sequences based on PacBio
long-reads which significantly
reduces variant-calling errors and improves assembly base
accuracy [
Nature Biotechnology].
In 2016, I received a Ph.D. degree in artificial intelligence from Carnegie Mellon University.
Before pursuing the Ph.D., I was a research engineer at Microsoft Research, web developer at eSpace Technologies, and teaching assistant at Alexandria University.