About me
I’m a fifth-year PhD student at the Paul G. Allen School of Computer Science & Engineering, University of Washington, where I’m fortunate to be advised by William Noble and Sewoong Oh. My research interests are in machine learning and computational biology. My current research builds 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
- 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!