About me

I’ve completed my PhD at the Paul G. Allen School of Computer Science & Engineering, University of Washington, where I was fortunate to be advised by William Noble and Sewoong Oh. My PhD research built deep learning methods to model biological sequences, chiefly in mass spectrometry-based proteomics.

Previously, I was a research intern at Amazon, Alphabet (Calico Life Sciences), Novo Nordisk and Stanford BMIR. I received a B.Sc. in Electrical Engineering from Koc University, where I worked with Murat Tekalp.

Pursuing my passion for biotech entrepreneurship and community building, I’ve founded the Pacific Northwest chapter of Nucleate, a global trainee-led nonprofit supporting emerging entrepreneurs in biotech and helping them spin out of academic labs. (featured in GeekWire)

For more details, refer to my CV.

News

• April 2025: I have joined Amazon as an Applied Scientist to work in the AWS Health AI team!
• July 2024: My main PhD project Sequence-to-sequence translation from mass spectra to peptides with a transformer model is published in Nature Communications!
• June 2024: I’ve joined Amazon as an applied scientist intern to work on multimodal protein language models.
• July 2023: I’ve joined Joshua Elkington on Axial Podcast to talk about ML in computational biology and my research journey.
• June 2023: I’ve joined David Kelley’s lab at Calico as an intern to work on machine learning for regulatory genomics.
• June 2022: I’ve joined Novo Nordisk Computational Drug Discovery team as a machine learning research intern for the summer.
• May 2022: Our paper De novo mass spectrometry peptide sequencing with a transformer model was accepted to ICML 2022!