Submission rejected on 11 March 2024 by
Ldm1954 (
talk). This topic is not sufficiently notable for inclusion in Wikipedia. Rejected by Ldm1954 4 months ago. Last edited by Ldm1954 4 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,
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guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see
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WikiOriginal-9 8 months ago. | ![]() |
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]
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]
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]
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
Submission rejected on 11 March 2024 by
Ldm1954 (
talk). This topic is not sufficiently notable for inclusion in Wikipedia. Rejected by Ldm1954 4 months ago. Last edited by Ldm1954 4 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. Declined by
WikiOriginal-9 8 months ago. | ![]() |
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]
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]
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]
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