Draft:Srijit Seal

Srijit Seal is an Indian chemoinformatician at the University of Cambridge and the Broad Institute of MIT and Harvard. His work focuses on the use of machine learning techniques in drug discovery, in particular, the modelling and interpretation of high-throughput Cell Painting assays to predict drug bioactivity, safety, and toxicity. Seal was elected a Fellow of the Cambridge Philosophical Society in 2021.

Early life and education
Seal completed his foundational education in India. He earned his Bachelor's degree in chemistry from St. Stephen's College, University of Delhi in 2019, where he developed an interest in the intersection of biology and chemistry. During his undergraduate studies, Seal spent time as a research intern at Japan Advanced Institute of Science and Technology (JAIST) and Freie University Berlin, where he worked on bioinformatics. Seal was also a recipient of research and innovation fundings such as Accelerate-C2D3 AI and Spirit of Invention from the Avery Dennison Foundation. Seal has actively presented his work and has been involved in several projects funded for innovative applications of AI in research.

Research and career
Seal's research involves using machine learning models to evaluate the bioactivity and toxicity profiles of drugs based on their chemical structures and cell imaging data for drug discovery. Seal's research has been recognized for its innovative applications in chemoinformatics and bioinformatics. In addition to research, Seal was the president of the Graduate Student Body at Clare Hall, University of Cambridge during 2021-22. He has received several accolades for his contributions to student life from the Cambridge Students' Union. Seal has been actively involved in academia and outreach, engaged in efforts to promote the understanding of Artificial Intelligence across India, and delivered seminars on the applications of machine learning in drug discovery.

Select publications

 * Seal, Srijit; Yang, Hongbin; Vollmers, Luis; Bender, Andreas (2021-02-15). "Comparison of Cellular Morphological Descriptors and Molecular Fingerprints for the Prediction of Cytotoxicity- and Proliferation-Related Assays". Chemical Research in Toxicology. 34 (2): 422–437. doi:10.1021/acs.chemrestox.0c00303. ISSN 0893-228X.
 * Seal, Srijit; Carreras-Puigvert, Jordi; Trapotsi, Maria-Anna; Yang, Hongbin; Spjuth, Ola; Bender, Andreas (2022-08-23). "Integrating cell morphology with gene expression and chemical structure to aid mitochondrial toxicity detection". Communications Biology. 5 (1): 1–15. doi:10.1038/s42003-022-03763-5. ISSN 2399-3642.


 * Liu, Anika; Seal, Srijit; Yang, Hongbin; Bender, Andreas (2023-04-01). "Using chemical and biological data to predict drug toxicity". SLAS Discovery. 28 (3): 53–64. doi:10.1016/j.slasd.2022.12.003. ISSN 2472-5552.