Summary
Sagnik Banerjee is an Applied Bioinformatics Senior Scientist with nine years of experience translating computational genomics and machine learning research into robust analytical pipelines for pharma and academia. Currently at Bristol Myers Squibb, he has driven method development that dramatically improved full-length gene repertoires and single-cell read assignment (10x and 20x gains in key metrics) and uncovered mutation-driven transcriptional effects in KRAS at single-cell resolution. His background spans plant and fungal genomics, deep learning for expression simulation, and creation of practical tools (e.g., NGPINT) that discovered hundreds of novel interactions, reflecting a rare blend of algorithmic rigor and wet-lab-facing impact. He also instituted department-wide project management practices and has a track record of mentoring, interviewing, and publishing, demonstrating both technical leadership and collaborative influence. Based in San Diego with a PhD in Bioinformatics & Computational Biology from Iowa State, Sagnik is as comfortable designing statistical models as he is optimizing sequencing-based assays for real-world therapeutic pipelines.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics & Computational Biology, Doctor of Philosophy - PhD Bioinformatics & Computational Biology at Iowa State University
Master of Engineering (M.E.) Computer Science and Engineering, Master of Engineering (M.E.) Computer Science and Engineering at Jadavpur University
Bachelor of Technology (BTech) Computer Science and Engineering, Bachelor of Technology (BTech) Computer Science and Engineering at Institute of Engineering & Management, Kolkata
Class XII Computer Science, Class XII Computer Science at Bharatiya Vidya Bhavan's
Bengali, Hindi, English