| Submission rejected on 11 March 2024 by Ldm1954 (talk). This topic is not sufficiently notable for inclusion in Wikipedia. Rejected by Ldm1954 2 months ago. Last edited by Ldm1954 2 months ago. |  |
| Submission declined on 4 November 2023 by WikiOriginal-9 (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia. |  |
Comment: Far more is needed to qualify for notable. He will need to wait 10 years or so, PhD students are not notable scientists unless there is something truly outstanding, e.g. Brian Josephson Ldm1954 (talk) 16:23, 11 March 2024 (UTC)
- Comment: Not enough independent, significant coverage. Not very many citations on Google Scholar. WikiOriginal-9 (talk) 20:03, 4 November 2023 (UTC)
Srijit Seal | |
|---|---|
| Alma mater | University of Cambridge St. Stephen's College University of Delhi |
| Scientific career | |
| Institutions | University of Cambridge Broad Institute |
Srijit Seal is an Indian chemoinformatician at the University of Cambridge and the Broad Institute of MIT and Harvard.[1][2] 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.[1][3]
Early life and education edit
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.[1] 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.[4] Seal was also a recipient of research and innovation fundings such as Accelerate-C2D3 AI and Spirit of Invention from the Avery Dennison Foundation.[5][6][7] Seal has actively presented his work and has been involved in several projects funded for innovative applications of AI in research.[8]
Research and career edit
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.[9][10] Seal's research has been recognized for its innovative applications in chemoinformatics and bioinformatics.[11][12] In addition to research, Seal was the president of the Graduate Student Body at Clare Hall, University of Cambridge during 2021-22.[13] He has received several accolades for his contributions to student life from the Cambridge Students' Union.[14] 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.[15][16]
Select publications edit
- 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.
References edit
- ^ a b c "Srijit Seal | Yusuf Hamied Department of Chemistry". www.ch.cam.ac.uk. Retrieved 2023-07-26.
- ^ "Carpenter-Singh Lab". carpenter-singh-lab.broadinstitute.org. Retrieved 2023-09-26.
- ^ "PhD Student Srijit Seal awarded Clare Hall Boak Student Support Fund to present research". Clare Hall. Retrieved 2023-09-26.
- ^ "Reports｜JAIST-India Cooperative Programme for Frontier Scientist/Engineers with Global Sense". www.jaist.ac.jp. Retrieved 2023-07-27.
- ^ "Accelerate-C2D3: Clare Hall students win prestigious £14K grant". Clare Hall. Retrieved 2023-07-27.
- ^ "Successfully funded projects to pursue innovative applications of AI in research and real world contexts". Accelerate Programme. 2022-11-16. Retrieved 2023-07-27.
- ^ "Avery Dennison Foundation announces winners of 6th 'Spirit of Invention' scholarship". India Education | Latest Education News | Global Educational News | Recent Educational News. 2017-09-06. Retrieved 2023-07-26.
- ^ "Chemistry: Srijit Seal wins SLAS Student Poster Award". Clare Hall. Retrieved 2023-07-27.
- ^ 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): 858. doi:10.1038/s42003-022-03763-5. ISSN 2399-3642. PMC 9399120. PMID 35999457.
- ^ 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. PMID 33522793. S2CID 231765897.
- ^ "AI detects toxic drugs | Yusuf Hamied Department of Chemistry". www.ch.cam.ac.uk. Retrieved 2023-07-27.
- ^ "Toxic drugs detected with AI - Srijit Seal leads study". Clare Hall. Retrieved 2023-07-27.
- ^ "Former GSB President Srijit Seal wins Best College Officer Award at Student Union 2022-23". Clare Hall. Retrieved 2023-07-27.
- ^ "Celebrating Students: Srijit Seal Wins Best College Officer Award | Yusuf Hamied Department of Chemistry". www.ch.cam.ac.uk. Retrieved 2023-07-27.
- ^ "PhD student tours India for AI outreach | Yusuf Hamied Department of Chemistry". www.ch.cam.ac.uk. Retrieved 2023-07-27.
- ^ "{Seminar} @ CDS: 13th September : "The Applications of Machine learning in Drug Discovery" – Department of Computational and Data Sciences". Retrieved 2023-07-27.
Category:Fellows of the Cambridge Philosophical Society Category:Cheminformatics Category:Indian scientists Category:Machine learning researchers Category:Delhi University alumni Category:Academics of the University of Cambridge Category:21st-century Indian scientists Category:Bioinformatics Category:Living people Category:St. Stephen's College, Delhi alumni Category:Alumni of Clare Hall, Cambridge