

Industry panel for students at University of Washington
It was a great pleasure to participate in the industry panel at the one-day Connectome conference, organized by the UW Computational Neuroscience Center (CNC). I enjoyed sharing my journey from computational neuroscience to biotechnology and AI, including my current work at SandboxAQ. It was especially meaningful to speak with the students about the many different career paths that can follow graduate training in neuroscience: from wearable neurotechnology, to AI and deep lea


Predicting binding affinity
I wanted to share a small personal project I have been working on: an end-to-end machine learning pipeline for protein–ligand binding prediction. The question I wanted to explore was: Can protein foundation model embeddings, combined with molecular fingerprints, help predict whether a small molecule is likely to bind a protein? In this project, I used ESM-2 to generate protein sequence embeddings and combined them with ligand representations such as Morgan fingerprints, MACCS


Bio-IT 2026
It was a great pleasure to participate in Bio-IT World together with my colleagues including Brook Santangelo, Jennifer Schreiber, PhD, PMP, Bill Fitzgerald and the whole Business Development team. This conference brought together many leaders from computational biology, biotech, pharma, and AI community. Bio-IT World is always a unique place where computational scientists, IT leaders, bioinformaticians, and AI researchers come together to discuss how data, infrastructure, an


Drug discovery course from Harvard Medical School
I have always enjoyed learning — going back to my early school days to the graduate program. In today’s rapidly evolving landscape, staying up to date is essential to stay current. Especially when working at the intersection of AI, biology, and drug discovery. It is easy to go deep in one area and miss important context from the broader picture. At SandboxAQ , we encourage continuous learning and cross-disciplinary understanding. I’m excited to share that I’ve completed the


2025 Year Highlights
The end of the year is a natural time to reflect. For me, professional and personal journeys have always been closely intertwined. This year marked several meaningful milestones. One of the major highlights was joining SandboxAQ . After a long and thoughtful interview process, I’m grateful to work along with a talented team ( Jordan Crivelli-Decker , Kishore Anekalla, PhD , Srihari Radhakrishnan, Ph.D. , Brook Santangelo and many others) and to apply my background in neu


Exciting News – A New Chapter Begins
Dear colleagues and friends, I’m delighted to share that I will be joining SandboxAQ as a Machine Learning Research Engineer, Bioinformatics . This marks the beginning of an exciting new chapter in my professional journey. Over the past few months, I’ve been carefully exploring opportunities where my passion for computational biology and machine learning could have the most meaningful impact. It has been a thoughtful process of reflection, learning, and conversations with in


Exploring the Power of Foundation Models at the Tahoe Therapeutics Hackathon
Last week, I had the incredible opportunity to participate in a fast-paced and inspiring hackathon organized by Tahoe Therapeutics...


Unlocking the Potential of Public RNA-Seq Data
Synthesize BIO database interface I'm excited to share a major milestone from our team at Synthesize Bio ! As computational biologists,...


Supporting the Next Generation: Why Sharing Our Career Journeys Matters Now More Than Ever
Teaching University of Washington students about job search in industry Last week, I had the pleasure of speaking with students at the...


Former intern has published a paper
It is gratifying to observe how your former mentees have progressed, demonstrating their ability to thoroughly analyze and address...
