About me
I’m a third-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. Focusing on proteomics, my current research builds deep learning methods to analyze mass spectrometry data.
Previously, I was a Research Intern at Stanford BMIR with Tina Hernandez-Boussard. 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
- January 2023: Our new preprint Sequence-to-sequence translation from mass spectra to peptides with a transformer model further advancing the state of the of the art in de novo peptide sequencing and tackling a range of applications in proteomics is on bioRxiv.
- 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, see you in Baltimore!