Parul Kudtarkar
ML & Genomics Researcher
20 years turning biological data into medical breakthroughs. Harvard, Caltech, UCSD. Currently the lead developer on multi-million dollar metabolic research at UC San Diego.
Technical expertise. Human empathy. Research that changes lives.
When not in the lab, you'll find me running trails, painting landscapes, or cooking for friends.
Work Experience
Common Metabolic Diseases Genome Atlas & PanKbase
June 2017 – Present
Principal architect for cmdga.org ($57M FNIH AMP CMD initiative) and PanKbase (data.pankbase.org, $10M NIH-funded), partnering with Amgen, Eli Lilly, Novo Nordisk, and Pfizer. Executed single-cell ATAC-seq analyses identifying disease-associated chromatin patterns for T1D and T2D. Architected scalable cloud solutions reducing costs while improving performance. Developed PerseusAI platform integrating knowledge graphs, vector embeddings and LLMs.
Echinobase
January 2011 – June 2017
Led comparative genomics platform serving 150+ research laboratories worldwide. Developed end-to-end pipelines for 7 echinoderm species, integrating RNA-seq and ATAC-seq data to infer transcriptional networks and identify conserved regulatory elements.
Cloud Computing for Comparative Genomics
January 2008 – December 2010
Deployed distributed RSD algorithm on cloud platforms (Yahoo MapReduce, AWS ECS). Applied machine learning-based runtime prediction achieving 40% cost reduction, pioneering the first cloud-based comparative genomics system.
Education
Master of Science, Bioinformatics
Northeastern University, USA
Courses: Biochemistry, Molecular Biology, Programming, Database Management, Proteomics, Imaging, Ethics
Bachelor of Engineering, Biomedical Engineering
University of Mumbai, India
Courses: Medical Instrumentation, Anatomy, Embedded Systems, Hospital Management
MBA Certification
Rady School of Management, UC San Diego
Courses: Business Strategy, Innovation, Venture Creation, Leadership
Reviewing Experience
Editorial Board
Database: The Journal of Biological Databases and Curation
Journals Reviewed For
American Journal of Human Genetics, Bioinformatics, Evolutionary Bioinformatics, BMC Bioinformatics, PLOS Computational Biology, Journal of Endocrinology, Faculty of 1000, Diabetes
Conference Jury
Intel International Science and Engineering Fair (Computational Biology and Bioinformatics category), Chen Institute Symposium for AI Accelerated Science