Scholar
Melih Yilmaz
Google Scholar ID: i-adTLgAAAAJ
Applied Scientist at Amazon
Citations & Impact
Citations
223
H-index
6
i10-index
4
Publications
14
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Main PhD project 'Sequence-to-sequence translation from mass spectra to peptides with a transformer model' published in Nature Communications; Paper 'De novo mass spectrometry peptide sequencing with a transformer model' accepted to ICML 2022.
Research Experience
- Research intern at Amazon, Alphabet (Calico Life Sciences), Novo Nordisk, and Stanford BMIR; Applied Scientist at Amazon AWS Health AI team; Intern at David Kelley's lab at Calico working on machine learning for regulatory genomics; Machine learning research intern at Novo Nordisk Computational Drug Discovery team.
Education
- Completed PhD at the Paul G. Allen School of Computer Science & Engineering, University of Washington, advised by William Noble and Sewoong Oh; B.Sc. in Electrical Engineering from Koc University, advised by Murat Tekalp.
Background
- Research interests include using deep learning methods to model biological sequences, particularly in mass spectrometry-based proteomics. Passionate about biotech entrepreneurship and community building.
Miscellany
- Founded the Pacific Northwest chapter of Nucleate, a global trainee-led nonprofit supporting emerging entrepreneurs in biotech.
