Automated Temporal Localization of Behavior in Cichlid Fish with Few-Shot Trajectory
Tokens. Bhargav Srinivasan*, William Lamousin*, Jason Liu†, Charles Phan†,
Ofure Osunbor, Shubh Sharma, Cade McGeehan, Tahir Haroon, Vijay Jayasuriya, Coltan Parker,
Scott Juntti, Pulkit Kumar, Abhinav Shrivastava. Computer Vision for Ecology Workshop, ECCV 2026.Long form in review at WACV 2027. *, † Equal contribution. Paper (PDF)
CRANE: Correcting Errors in Raw Nanopore Signals Using Hidden Markov Models.
Simon Ambrozak, Ulysse McConnell, Bhargav Srinivasan, Burak Ozkan,
Ernest Zhang, Can Firtina. In review, Bioinformatics, 2026. Paper (arXiv)
Artificial Intelligence and Pain Management: Cautiously Optimistic. Bhargav Srinivasan, Archana Venkataraman, Srinivasa N. Raja. Editorial, Pain Management, September 2024. Paper
RawMod: A Deep Learning Approach to Modification Agnostic Classification in Nanopore
Sequencing. Bhargav Srinivasan, Simon Ambrozak, Can Firtina. In preparation.
When Should a Pathogen Strike? Navigating the Landscape of Birth Pulses and Mating
Season. Bhargav Srinivasan, Sam Hulse, Emily Bruns. In preparation.
Talks
A Deep Learning Approach to Identifying Complex Structural Variation in the Genome. Invited seminar talk, Cancer Data Science Laboratory, National Cancer
Institute, Bethesda, MD. July 2026. Talk slides (PDF)
Unsupervised Learning for DNA Modification Profiles from Nanopore Sequencing Data. Invited talk, Algorithmic Bioinformatics Seminar, University of Maryland,
College Park, MD. April 2026.
Investigating Color Vision's Role in African Cichlid Social Behaviors Using Few-Shot
Action Recognition. Invited talk, Gemstone Do Good Showcase, College Park, MD.
November 2025.
Developing a Molecular Surveillance Dashboard. Invited talk, AstraZeneca Vaccines & Immune Therapies Intern
Symposium, Gaithersburg, MD. August 2025.
Host Life History vs. Pathogen Optimization. Invited talk, Quantitative Ecological & Evolutionary Dynamics
Seminar, University of Maryland, College Park, MD. April 2025.Only undergraduate speaker in the seminar's history.
Investigating the Link between the Ora4 Gene and Social Behaviors in African Cichlids
through the Use of Computer Vision. Invited talk, University of Maryland Gemstone Library Awards,
College Park, MD. April 2025.Best Talk Award.
Posters
RawMod: A Deep Learning Approach to Modification Agnostic Classification in Nanopore
Sequencing. Poster presentation and flash talk, AnVIL Community Conference,
Boston, MA. September 2026. Poster (PDF)
RawMod: A Deep Learning Approach to Modification Agnostic Classification in Nanopore
Sequencing. ISMB: Intelligent Systems for Molecular Biology, Washington, D.C.
July 2026.HiTSeq Best Poster Award. Poster (PDF)
A Deep Learning Approach to Identifying Complex Structural Variation in the Genome. Poster presentation and flash talk, NCI Summer School on Algorithmic
Cancer Biology, Bethesda, MD. July 2026. Poster (PDF)
A Machine Learning Approach to Identify Unique Non-typeable Haemophilus
influenzae (NTHi) Clusters Using Lipooligosaccharide (LOS) Biosynthetic Genes. ASM Microbe 2026, Washington, D.C. June 2026.
Correlations between Read Depth, Copy Number Variation, and Bt Resistance in
Helicoverpa zea. Entomological Society of Washington Student Showcase, Washington, D.C.
May 2026.Best Poster Award. Poster (PDF)
Correlations between Read Depth, Copy Number Variation, and Bt Resistance in
Helicoverpa zea. PAG33, San Diego, CA.
January 2026.2nd Prize, Crop Science Society of America Poster Competition. Poster (PDF)
When Should a Pathogen Strike: Navigating the Landscape of Birth Pulses and Mating
Season. Ecology and Evolution of Infectious Diseases North-East Meeting,
University Park, PA. November 2025. Poster (PDF)