Srijit Seal

Srijit Seal

Principal Scientist, Human Chemical Company
Visiting Researcher, Uppsala University

Drug discovery Artificial intelligence Scientific practice

Selected posts

Selected LinkedIn posts. Reactions are lifetime counts; impressions cover the available export periods. A plus sign marks an incomplete count.
Title
Scaling AI for drug discovery

Questions about the quality of future discoveries, as well as their number.

Srijit Seal, AI
36 22558
Defining AI, LLM, and QSAR for scientific audiences

Late-night slide preparation and familiar requests from reviewers.

Srijit Seal, Scientific practice
79 52685
Scientist salaries and working hours in biotech

Questions about pay and working-hour expectations in startup job postings.

Srijit Seal, Careers
89 47455
Model validation for small-molecule drug discovery

The Polaris collaboration on testing whether models generalize to new chemistry.

Srijit Seal, Research
388 26571
Artificial intelligence in drug discovery: where we stand

Our Perspective in Nature Reviews Drug Discovery on the current state of AI in the field.

Srijit Seal, Research
993 54181
Evaluating LLM-generated benchmarks

Reflections on reviewing datasets and evaluations for NeurIPS.

Srijit Seal, Scientific practice
386 52997
Fabricated references in scientific papers

Reference managers, DOI checks, and the responsibility to verify citations.

Srijit Seal, Scientific practice
187 84816
Lessons from the OpenADMET PXR challenge

Using Codex while thinking through assay biology, validation, and activity cliffs.

Srijit Seal, AI
210 22069
AI and computational chemistry job opportunities

An April 2026 collection of positions in pharma and biotech. Some roles may now be closed.

Srijit Seal, Careers
153 19770
Cell Painting in primary human hepatocytes

Our Cell Systems paper on cytotoxicity and mode-of-action analysis.

Srijit Seal, Research
388 28093
Roles in cheminformatics, ADMET, and computational chemistry

A March 2026 collection of positions in pharma and biotech. Some roles may now be closed.

Srijit Seal, Careers
252 25837
AI agents in drug discovery, published in Drug Discovery Today

The published review of applications and case studies from academia and industry.

Srijit Seal, Research
242 20900
Best Paper Award for toxicity prediction guidelines

Recognition from the SOT Regulatory and Safety Evaluation Specialty Section.

Srijit Seal, Research
332 17560
Reflections on my time at Merck

What I learned from colleagues across discovery science and computational toxicology.

Srijit Seal, Careers
340 24885
The quality of scientific peer review

A reflection on factual errors in reviews and the use of AI by reviewers.

Srijit Seal, Scientific practice
68 18009
Cell count as a bioactivity benchmark

Our Nature Communications paper on cell count, cytotoxicity, and benchmark design.

Srijit Seal, Research
400 39026
What very small p values tell us

Statistical precision, model assumptions, and real-world sources of error.

Srijit Seal, Scientific practice
37 28784
AI agents in drug discovery: a review with industry case studies

A collaboration between researchers, startups, and venture partners.

Srijit Seal, Research
503 43243+
arXiv policies for review articles

A discussion of preprint policies and concerns about LLM-generated submissions.

Srijit Seal, Scientific practice
109 30662+
Unrealistic experience requirements in AI jobs

A job asking for more years of PyTorch experience than PyTorch has existed.

Srijit Seal, Careers
334 56919+
An open reading link for our Cell Painting review

Sharing a free reading link and thanking the review's co-authors.

Srijit Seal, Research
179 N/A
When plate layout predicts toxicity

Why imaging models need comparisons against technical controls.

Srijit Seal, Scientific practice
115 N/A
Cell Painting: a decade of discovery and innovation

Our Nature Methods review of the assay, its applications, and the community using it.

Srijit Seal, Research
225 N/A
Foundation models at the Cambridge Cheminformatics Meeting

An invitation to discuss foundation models for non-clinical safety.

Srijit Seal, Events
6 N/A
AI models for drug discovery

Models for liver toxicity, cardiotoxicity, cell imaging, and pharmacokinetics.

Srijit Seal, Research
138 N/A
BioMorph: interpreting Cell Painting features

Linking image-based profiling to biological measurements and sharing ML-ready datasets.

Srijit Seal, Research
104 N/A
Understanding Biology in the Age of Artificial Intelligence

Announcing the June 2023 conference at the University of Cambridge.

Srijit Seal, Events
70 N/A
An MPhil graduation at Clare Hall

Celebrating a postponed graduation ceremony and the support behind my research.

Srijit Seal, Careers
173 N/A

Post impressions cover the available export periods. A + marks a lower bound where an export lacks that post; N/A means no verified count.

Selected posts, not a complete archive. Titles and summaries are edited for this page. Each title links to the original.