Srijit Seal

PhD Student, University of Cambridge and Visiting Scientist, Broad Institute of MIT and Harvard

A portrait of Keunhong Park

srijitseal.com

srijitseal

srijitseal

seal@broad.mit.edu

Education

Broad Institute of MIT and Harvard
Working on Cell Painting and OASIS Consortium, advised by Anne Carpenter and Shantanu Singh.
Supported by OASIS Consortium
Sept 2023 - Current
University of Cambridge
PhD in Chemistry, advised by Andreas Bender
Supported by Cambridge University Commonwealth Scholarship (~$55k/year for 4 years)
Oct 2020 - Sept 2024
University of Cambridge
MPhil in Chemistry, advised by Andreas Bender
Supported by Clare Hall Scholarship (~$55k 1 year)
Oct 2019 - Sept 2020

Employment

Broad Institute of MIT and Harvard
Visiting Scholar
Sept 2023 - Current
Cambridge, MA, US
AbsoluteAI (Ignota Labs)
Chemoinformatics consultant
Oct 2022 - July 2023
London, UK
PangeAI (PangeaBotanica)
Chemoinformatics consultant
Dec 2022 - May 2023
London, UK
University of Cambridge
Supervisor and Demonstrator for Undergraduate Courses
Oct 2019 - Sept 2023
Cambridge, UK
Freie University Berlin
Visiting Research Scholar
Dec 2018 - Feb 2019
Berlin, Germany
Japan Advanced Institute of Science and Technology
Visiting Scholar
May 2018 - Aug 2018
Nomi, Japan

Publications

Insights into Drug Cardiotoxicity from Biological and Chemical Data: The First Public Classifiers for FDA Drug-Induced Cardiotoxicity Rank
S. Seal, O. Spjuth, L. Hosseini Gerami, M. García-Ortegón, S. Singh, A. Bender, A. Carpenter
Journal of Chemical Information and Modeling, 2024
Integrating Cell Morphology with Gene Expression and Chemical Structure to aid Mitochondrial Toxicity detection
S. Seal, J. Carreras Puigvert, M. Trapotsi, Y. Hongbin, O. Spjuth, A. Bender
Communications Biology, 2022
Comparison of Cellular Morphological descriptors and Molecular Fingerprints for the prediction of Cytotoxicity- and Proliferation-related assays
S. Seal, Y. Hongbin, L. Vollmers, A. Bender
Chemical Research in Toxicology, 2021
Understanding Biology in the Age of Artificial Intelligence
E. Lawrence, A. El-Shazly, S. Seal, C. Joshi, P. Lio, S. Singh, A. Bender, P. Sormanni, M. Greenig
arXiv, 2024
Using Chemical and Biological data to Predict Drug Toxicity
A. Liu, S. Seal, Y. Hongbin, A. Bender
SLAS Discovery, 2023
Merging Bioactivity Predictions from Cell Morphology and Chemical Fingerprint models using Similarity to Training data
S. Seal, Y. Hongbin, M. Trapotsi, S. Singh, J. Carreras Puigvert, O. Spjuth, A. Bender
Journal of Cheminformatics, 2023
From pixels to phenotypes: Integrating image-based profiling with cell health data as BioMorph features improves interpretability
S. Seal, J. Carreras Puigvert, S. Singh, A. Carpenter, O. Spjuth, A. Bender
Molecular Biology of the Cell, 2024
Using Generative Modeling to Endow with Potency Initially Inert Compounds with Good Bioavailability and Low Toxicity
R. Horne, J. Wilson-Godber, A. Gonzalez Diaz, Z. Brotzakis, S. Seal, R. Gregory, A. Possenti, S. Chia, M. Vendruscolo
Journal of Chemical Information and Modeling, 2024
Improved Early Detection of Drug-Induced Liver Injury by Integrating Predicted in Vivo and in Vitro Data
S. Seal, D. Williams, L. Hosseini Gerami, O. Spjuth, A. Bender
bioRxiv, 2024
PKSmart: An Open-Source Computational Model to Predict in vivo Pharmacokinetics of Small Molecules
S. Seal, M. Trapotsi, V. Subramanian, O. Spjuth, N. Greene, A. Bender
bioRxiv, 2024
Calibrated prediction of scarce adverse drug reaction labels with conditional neural processes
M. García-Ortegón, S. Seal, S. Singh, A. Bender, S. Bacallado
ICLR 2024 DMLR Workshop