Summary
Alper Kucukural is an associate professor and computational biologist with 11 years of experience building AI-powered, production-grade bioinformatics systems that turn large omics datasets into reproducible, collaborative insights. He leads efforts at Via Scientific to replace manual pipelines with conversational, LLM-driven analysis that lets bench scientists query genomics in plain language, and he has deep operational experience running cores and high-performance pipelines at UMass Medical School. His research and engineering work spans protein structure prediction, machine learning for graph-based bioinformatics, and scalable workflow design—skills honed from a PhD in biocomputing and decades of hands-on tool and pipeline development. Alper combines academic training and pedagogy with product-focused engineering, teaching cross-disciplinary computational biology while shipping robust platforms for hundreds of concurrent users. Notably, his background in parallel sub-graph matching for protein fold prediction informs both algorithmic rigor and practical system optimizations. Based in Cambridge, MA, he blends scholarly insight with startup-style execution to make genomics accessible beyond specialist coders.
11 years of coding experience
14 years of employment as a software developer
PhD Biological Sciences and Bioengineering, PhD Biological Sciences and Bioengineering at Sabanci University
High School Computer Programming, High School Computer Programming at Tuzla Technical Highschool
PhD Biocomputing, PhD Biocomputing at Alma Mater Studiorum – Università di Bologna
Bachelor Mathematics Engineering, Bachelor Mathematics Engineering at Istanbul Technical University
English