Ben Geoffrey
AI Driven Drug Discovery || Sravathi AI
- Role
- Manager - in Silico Drug Discovery at Sravathi Ai Technology Pvt Ltd
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Ben Geoffrey
As a developer of computer aided drug design methodologies, apply AI and biophysical expertise to develop novel deep learning architectures and biophysical simulation techniques for accelerated drug discovery Computational Chemistry Stack : Gaussian, ORCA and their corresponding visualization tools.Computational Biology Stack : AutoDock, Pymol, GROMACS, NAMD,VMDChem-informatics and Bio-informatics Stack : Rdkit, Bio-python, Bio-conductorData Science and Machine Learning Stack : For scrapping data from web : Urllib, Scrapy,Beautifulsoup. Databases : SQL and NoSQL. Data preparation and wrangling : Numpy,Pandas. For Scientific operations on data : Scipy. For data visulizations : Matplotlib, Bokeh,Seaborn. For ML and Deep Learning model building : Sci-kit learn, Tensorflow, PyTorch,Keras. For big data scalability of ML models: Dask, PySpark For Web deployment of model:Django, DevOps : Slack, Git and DockerBack end stack : DjangoFront end stack : HTML, CSS, Bootstrap, JavaScriptMobile Development : ReactQuantum computing stack : Pennylane and QiskitRecently published:1] Ben Geoffrey, A. S; Agrawal, D; Kulkarni, N. M; Vetrivel, R; Gurram, K. PROTAC-Design-Evaluator (PRODE): An Advanced Method for In-Silico PROTAC Design.\" ACS Omega. 2024, 9 (no.11), 12••••••21, DOI: 10.1021/acsomega.3c07318.2] Ben Geoffrey, A. S; Agrawal, D; Kulkarni, N. M; Manonmani, G. Molecular Glue-Design-Evaluator (MOLDE): An Advanced Method for In-Silico Molecular Glue Design.DOI: 10.1101/20••••••••37Peer-Reviewer record : https://publons.com/researcher/40•••17/ben-geoffreyScience outreach, teacher at the Channel for Theoretical and Computational Science Publication Record at :
Experience
Manager - in Silico Drug Discovery
Sravathi Ai Technology Pvt Ltd
Apr 2025 — Present
Education
University of Madras
Doctor of Philosophy - PhD
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