Directory

People from underrepresented groups working in and around computational chemistry, self-submitted by the people listed. See Contribute to add your own entry.

Kutand Alkım Bayer
İzmir Institute of Technology
Country:Türkiye, State/City:Urla/İzmir
Theoretical chemistry and it's subtopics
Michael Goldstein
N/A
Boston, MA, USA
Structure Based Drug Design Ligand Based Drug Design Cheminformatics
LGBTQ+
Khandakar Jianur Islam
M.Sc. Bioinformatics, Jamia Millia Islamia, New Delhi
Delhi,India
AI- and machine learning-driven computational drug discovery Structural bioinformatics and protein structure modelling Molecular docking and molecular dynamics simulation Structure-based drug discovery and target identification Cheminformatics and virtual screening

M.Sc. Bioinformatics graduate (Jamia Millia Islamia, 1st Rank) with dissertation research at CSIR-CDRI on structure-based virtual screening, molecular dynamics, and ML-based binding affinity prediction for EGFR mutant inhibitors in NSCLC. Interested in AI-enabled structure-dynamics approaches for drug discovery.

computational drug discovery, structural bioinformatics
Harikrishna Sekar Jayanthan
Recursion
Structure based drug design
Photo of Leticia Madureira
Leticia Madureira
Carnegie Mellon University
Pittsburgh, PA, USA
Computational Quantum Chemistry AI and Machine Learning Electronic Structure Method Development

Leticia is a Computational Quantum Chemistry working at Carnegie Mellon as a PhD Candidate. Her research involves exploration of catalysis and different electronic structure methods in the elucidation of chemical bonding interactions.

Micaela Matta
King’s College London
London, United Kingdom
Organic electronics Organic mixed ionic electronic conductors Molecular dynamics simulations Electronic transport Materials discovery Melanin modelling
Utkarsh Patel
Coventry University
Coventry
Computational Drug discovery Machine Learning New drug discovery methods De novo molecules

Holding a PharmD and an MSc in Pharmacology (Distinction), I bridge molecular pharmacology with computational modeling. My research focuses on developing Python and machine learning workflows for structure-based docking, scaffold-aware QSAR modeling, and virtual screening of small molecules. With proven experience processing large bioactivity datasets and building open-source computational tools, I develop interpretable models grounded in physical and biological mechanisms.

Long-Hung Pham
Imperial College London
Drug design Graph methods Machine learning
Other underrepresented Asians
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Aritra Roy
London South Bank University
London, United Kingdom
AI and Machine Learning Text-mining Large Language Models Agentic AI High-throughput Workflow Piezoelectrics

Aritra is a Doctoral Researcher at LSBU, UK, working on AI, machine learning and LLM-based agents for chemistry and materials science. His expertise spans computational modelling, cheminformatics and a wide range of scientific software.

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Michelle Sahai
Brunel University of London
London, United Kingdom
AI-driven drug discovery computational structural biology molecular dynamics and biomolecular simulation membrane protein structure and pharmacology

Dr Michelle Sahai is a Lecturer in Biosciences (Drug Discovery) at Brunel University London. Her research combines AI-driven drug discovery, computational structural biology and molecular simulations to understand protein–ligand interactions and develop new therapeutic approaches, with a particular interest in membrane transporters and the molecular mechanisms of drug action.

Tejas Shah
Michigan State Univeristy
Molecular Dynamics Simulations. Protein Allostery, Drug Discovery, Machine Learning,
Surya Pratap Singh
Allahabad University
Molecular dynamics simulations Protein - Peptide Membrane interactions Binding Free Energy Estimation Conformational Analysis Workflow Developer
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Atharva Tilewale
Gujarat Biotechnology University
Gandhinagar, India
Computational Biology Drug Discovery Alchemical Free-Energy Calculation Protein Design and Engineering Machine Learning in Biology Molecular Dynamics and Biomolecular Simulations

Atharva is a Research Fellow at Gujarat Biotechnology University, working at the intersection of computational biology, enzyme engineering, and AI-driven biomolecular design. His interests include protein design and engineering, with expertise in molecular dynamics simulations, alchemical free energy calculations, and computational drug discovery.

Luis Itza Vazquez-Salazar
Institute for Theoretical Physics,Heidelberg University
Heidelberg, Germany.
Generative modelling in chemistry Chemical space exploration Machine learning interatomic potentials Multiscale modelling

I am originally from Mexico City. I studied chemistry at the National Autonomous University of Mexico. Later, I completed a master’s degree at the University of Groningen, supported by an ERASMUS+ scholarship from the European Union. After earning my MSc. degree, I pursued a PhD in physical chemistry at the University of Basel. At the end of my PhD, I received an SNSF fellowship for a postdoctoral stay at the Institute for Theoretical Physics at Heidelberg University.

first-generation academic
Dejvid Veizaj
Leiden University Medical Center
Computational Protein Design Molecular Modeling Molecular dynamics and Cofolding
Photo of Conrad Simoben Veranso
Conrad Simoben Veranso
Freelancer and consulting
Canada
Molecular modeling Structure- and ligand-based design Binding free-energy methods Computational drug discovery Hit identification and lead optimisation Python/data pipelines

Computational chemist and drug discovery scientist specializing in AI-driven molecular modelling, CADD, virtual screening, MD simulations, and binding-energy calculations. PhD in Pharmaceutical & Medicinal Chemistry from Martin Luther University, Germany. Postdoc at the Structural Genomics Consortium, Toronto. Experienced in Python/PyTorch, medicinal chemistry, and translational drug discovery. Author of 40+ peer-reviewed publications.

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