Promotional graphic for ISMB 2026 in Washington, D.C., July 12 to 16, 2026, with Parashar Dhapola, CEO of Nygen, presenting in the Tech Track on a pastel gradient background.
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ISMB 2026, Washington, D.C.

Nygen presents in the ISMB 2026 Tech Track. Parashar Dhapola, CEO, on leveraging LLMs for accurate and confidence-calibrated cell type and state identification.

Date July 12 to 16, 2026
Starts at 11:20 AM EDT (Parashar talk, July 13)
Duration Five days
Location Washington Hilton, Washington, D.C., USA

Conference overview

ISMB 2026 is the flagship meeting of the International Society for Computational Biology (ISCB). The 34th ISMB conference returns to Washington, D.C., where ISCB and ISMB began in 1993, for five days of computational biology and bioinformatics.

The programme brings together researchers from computer science, bioinformatics, computational biology, molecular biology, mathematics, statistics, and related fields. More than 600 scientific talks are expected, with in-person sessions at the Washington Hilton and virtual access through ISCB's Nucleus platform.

Dates: July 12 to 16, 2026.

Venue

Washington Hilton

Washington, D.C., United States of America

Venue, travel, accommodation, and registration details are on the official ISMB 2026 site.

Nygen at ISMB

Nygen will present in the ISMB 2026 Tech Track, which highlights software, platforms, and computational methods with direct impact on biological research. Parashar Dhapola, PhD, CEO, will be attending and presenting on Monday, July 13.

Talk by Parashar Dhapola, CEO - Nygen

Title: Leveraging LLMs for accurate and confidence calibrated cell type and state identification

Track: Tech Track

Date and time: Monday, July 13, 2026, 11:20 to 12:00 PM US/Eastern (40 minutes)

Room: Monroe

Presenter: Parashar Dhapola, Nygen Analytics AB, Sweden

Cell type and cell state identification from single-cell data is a foundational step for target discovery and translational biology, and it needs both accuracy and calibrated confidence when results feed downstream decisions. Large language models offer contextual adaptability, but naive LLM use in annotation pipelines can introduce variance and overconfidence. This talk covers how CyteType combines structured LLM workflows with evidence gathering and confidence calibration so annotations are accurate, reproducible, and transparent about uncertainty. The session shares the framework, benchmark results, and lessons from production use across large-scale single-cell atlases.

Meet our team

If you are attending ISMB and want to continue the conversation beyond the Tech Track session, Parashar is available for meetings across the conference. Reach out via LinkedIn or email parashar.dhapola@nygen.io to find a time.

Registration

Registration and the full scientific programme are on the official ISMB 2026 page.

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