experience

Work Experience

Transcripta Bio Palo Alto, CA

Machine Learning Consultant (Part-Time) Sep 2023 - Dec 2024

• Leading experiments on generative models for molecules with desired gene expression, resulting in the discovery of several novel molecules with better predicted bioactivity profile.
• Enabling company’s first ML-based virtual screening pipeline with compound library standardization, characterization and featurization - which resulted in several wet-lab validated hits.

Recursion Salt Lake City, UT

Software Engineer (Part-Time) Sep - Dec 2022
Software Engineering Intern Jun - Sep 2022

• Implemented gene search and enrichment analysis of biological pathways with React and Python using known biology databases to accelerate drug-target discovery workflow. Setup SLO alerts using OpenTelemetry and Prometheus.
• Built full-stack graph visualization and analysis app for millions of relationships between biological entities using Dash.

Amgen Burnaby, BC

Bioinformatics Co-op Jan - Apr 2022

• Developed binding affinity prediction model of antibody and target protein on cell sorting data using PyTorch and ESM.
• Built Dash web app to visualize immune repertoire containing thousands of sequences through network graph.

Google Waterloo, ON

Software Developer Intern May - Aug 2021

• Introduced contrastive learning to Retail AI ranking model and reduced average first click position by 0.36 using TensorFlow.
• Implemented adaptive multi-objective loss balancing algorithms (GradNorm, Uncertainty Weighting) to reduce over-fitting in multi-task ranking model.
• Used C++ and Flume (Apache Beam) to build metric aggregation pipelines that processed terabytes of search logs to provide insights on search quality.

Georgian Toronto, ON

Machine Learning Engineering Intern Sep - Dec 2020

• Built ML Platform command line tool that enables data scientists to seamlessly train hundreds of dockerized reproducible experiments on cloud in one command.
• Trained and evaluated models predicting startups’ raise likelihood to help investment team on candidates prioritization.
• Generated novel features from large news dataset using Apache Spark and increased AUPR by 10% compared to baseline.

Google Waterloo, ON

STEP Intern May - Aug 2020

• Proposed and implemented a full stack web & mobile platform that enables non-technical users to create functional bots.
• Owned and developed Flutter/Dart application and Cloud Firestore component. Proposed and communicated key technical designs in schema and framework choice, resulting in accelerated completion of cross-platform app.
• 20% Project: Worked with Cloud Health team to generate human mutation histogram, using SQL and Python to pull data from Genome Aggregation Database in BigQuery.

Research Experience

Northeastern University / Broad Institute of MIT and Harvard Boston, MA

Visiting researcher Feb 2025 - Present

• Research: Foundation model for bio-molecular generation, and antibiotics discovery applications.
• Supervisor: Dr. Wengong Jin

Simon Fraser University Burnaby, BC

PhD in Computing Science May 2023 - Present

• Research: Structure-based drug design with generative flow networks and flow matching models.
• Supervisor: Dr. Martin Ester

Communications

Guest interviewer - InterBios Podcast May 2024

Interviewed Dr. Anthony Fejes - CEO of HTuO Biosciences on the role of molecular simulation on drug discovery.

Guest writer - Valence Portal Blogs Apr 2024

Published article on AI for Drug Design and Generative Flow Networks (link)

Supervising

Grayson Lee Oct 2023 - May 2024

Geometric-informed GFlowNets for Structure-Based Drug Design - MoML 2024 (Spotlight)

Academic Service

Reviewer

Transactions on Machine Learning Research (TMLR) Oct 2024 -