gautam ahuja

28 entries

News

Papers, talks, challenge results and other milestones, newest first.

2026

  1. CyteBase is out: a searchable catalogue of public single-cell datasets that open as cloud-hosted CyteArc stores, no download needed. (PyPI | docs)

  2. CyteArc is out: fast, out-of-core single-cell analysis for RNA, ATAC, protein and multi-omic data, scaling past a hundred million cells, with provenance tracked through every result. (PyPI | docs)

  3. Submitted our write-up to the AMP Challenge (NeurIPS 2026 Competition Track), a three-stage generative pipeline for designing antimicrobial peptides. Slides, posters and other write-ups are now on the journal page.

  4. Moved to Bangalore (temporarily)!

  5. The DREAM Olfactory Mixtures challenge paper, A semantic-based community model for high-fidelity tuning of olfactory mixture distances, is published in PNAS. I’m part of the challenge consortium.

  6. Promoted to Senior Scientific Computing Engineer at Nygen Analytics, where I look after AI at Nygen, including CyteType and CyteOnto.

  7. Results of the first DREAM Target 2035 Drug Discovery Challenge, in which our team took part, are out as a preprint on ChemRxiv.

  8. Back as a Teaching Fellow at Ashoka Horizons for Data Science: Solving for Real-World Challenges.

  9. Our team ranked 3rd of 49 in Step 1 of the DREAM Target 2035 Drug Discovery Challenge. The code is on GitHub.

  10. Artificial intelligence for automated classification of antinuclear-antibody indirect immunofluorescence patterns is published in EULAR Rheumatology Open (Vol. 2, Issue 1).

2025

  1. Gave a lightning talk at the OHDSI India Symposium 2025 in Bangalore on PRISM and the OMOP Common Data Model for probable abdominal-pain diagnosis.

  2. CyteType is on bioRxiv: Multi-agent AI enables evidence-based cell annotation in single-cell transcriptomics.

  3. PRISM, physician rules integrated with small language models for abdominal-pain diagnosis, was accepted at GenAI4Health @ NeurIPS 2025 in San Diego.

  4. Three abstracts on personalised radiology report generation were accepted at RSNA 2025 in Chicago.

  5. Our work on diet and physical activity in PCOS was accepted in JBRA Assisted Reproduction.

  6. Results from the CODA TB DREAM Challenge are published in Open Forum Infectious Diseases.

  7. An abstract on LLM agents for single-cell annotation was accepted for a poster at SCSO 2025.

  8. Gave two talks on the fundamentals of machine learning to high-school students in Ashoka University’s Young Scholars Programme.

  9. Our antinuclear-antibody image-classification work was presented as a poster at EULAR 2025; the abstract is in Annals of the Rheumatic Diseases.

  10. Completed the Postgraduate Diploma in Advanced Studies and Research (Computer Science) at Ashoka University, cum laude.

  11. Defended my thesis, Agent-based Conversational Augmented Intelligence System for Probable Abdominal Pain Diagnosis in Outpatient Setting.

2024

  1. Joined Nygen Analytics, as a Scientific Computing Engineer.

  2. Gave four talks on computational thinking to high-school students in Ashoka University’s Young Scholars Programme.

  3. Graduated from Ashoka University with a B.Sc. (Hons.) in Computer Science and Mathematics, magna cum laude.

  4. Results from the CODA TB DREAM Challenge are on medRxiv.

  5. Attended Research Week with Google 2024.

2023

  1. Our team placed 4th in the NeurIPS SENSORIUM 2023 competition.

  2. Our team placed 6th in the CODA TB DREAM Challenge.