Summary
Ramya Raviram is a bioinformatics scientist and Research Assistant Professor with over a decade of experience applying computational genomics to questions in 3D genome organization, transposable elements, and cancer biology. She has led method development (e.g., R.4Cker HMM for 4C-seq) and pipelines for single-nucleus ATAC/RNA-seq to infer focal amplifications and clonal tumor trajectories in glioblastoma. Her work spans academia and industry, including postdoctoral roles at Ludwig/UCSD and NYGC/Weill Cornell and a recent scientist role at a biotech startup, reflecting strength in both collaborative research and translational genomics. Based in San Diego, she seeks high-functioning teams that leverage cutting-edge genomic technologies to dissect gene regulation across tissues and disease states. Beyond research, she is active in education outreach and creating hands-on lab opportunities for students, signaling a commitment to training the next generation of scientists. Her publication record and public profiles (Google Scholar, GitHub, Twitter) highlight a blend of rigorous computational method-building and cross-disciplinary collaboration.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational Biology, Doctor of Philosophy (Ph.D.) Computational Biology at New York University
Biotechnology/Bioinformatics Science, Biotechnology/Bioinformatics Science at Rutgers University