Summary
Metin Balaban is a computational scientist with nine years of experience building scalable algorithms for large-scale biological data, now developing cell-free DNA products for women's health and oncology at Myriad Genetics. He earned a PhD in Bioinformatics from UC San Diego and completed a postdoc at Princeton focusing on early cancer detection from circulating tumor DNA. His work spans computational cancer biology, phylogenetics, and algorithm design, with publications including a Nature Biotechnology paper and presentations at ISMB, RECOMB, and GLBIO. Metin’s award-winning project on automatic genome cataloguing secured UCSD’s CMI Grand Challenges Award and demonstrates his ability to translate theoretical methods into impactful, high-throughput tools. He combines strong theory (EPFL and algorithmic research) with practical engineering experience across academia and industry, and has applied optimization and LP techniques in earlier computational projects. Outside the lab he’s an avid traveler and outdoor enthusiast, often drawing inspiration for interdisciplinary problems from hands-on field interests.
9 years of coding experience
9 years of employment as a software developer
University of California, San Diego
Master’s Degree, Computer Science, 5.54/6.00, Master’s Degree, Computer Science, 5.54/6.00 at Ecole polytechnique fédérale de Lausanne
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Danmarks Tekniske Universitet
Bachelor’s Degree, Computer Engineering, 3.97/4.00, Bachelor’s Degree, Computer Engineering, 3.97/4.00 at Orta Doğu Teknik Üniversitesi / Middle East Technical University
English, Turkish