About Me

National & International Award-winning scientist with a PhD in Cheminformatics, leveraging AI to transform drug discovery and toxicology. Founder of AIDrugApp, an AI-powered virtual screening platform that accelerates early-stage drug discovery. With extensive experience in academia (EMPA, Switzerland) and industry (Syngenta, UK), I have applied cutting-edge machine learning to reduce R&D timelines and enhance safety assessments across pharmaceutical, agricultural, and environmental domains.

Research Portfolio

• AIDrugApp: AI-powered virtual screening platform designed to accelerate early-stage drug discovery through machine/ deep learning
• PhD thesis title: Chemoinformatics based investigation of plant metabolites for their medicinal and crop protection values

AIDrugApp

AIDrugApp is a National & International award-winning ongoing self-conceived project to develop an AI-based virtual screening web-application platform for early stage drug discovery research.

Honors & Awards

• National Award (Certificate of Merit - Selected in top 4/ 31 finalists) - Indian International Science Festival (IISF)-2020 for AIDrugApp
• National Award (Consolation - Selected in top 10/ 377 shortlisted)- Drug Discovery Hackathon-2021 against SARS-CoV-2 for AIDrugApp

SKILLS

  • Programming Languages: Python, R/RStudio - Bioconductor, HTML
  • Machine learning: AI architecture, quantitative (Auto) ML/ DL predictive modeling (design, development & implementation) using algorithms (Classification, Regression, Ensemble Methods, Clustering Algorithms, Principal Component Analysis) and Python libraries - TensorFlow, Keras, Scikit-learn, NumPy, Pandas, SciPy, matplotlib, seaborn, yellowbrick, NLP models - Spacy
  • Data Science: Chemical Data preparation and analysis (Data curation, cleansing, wrangling, optimization, Feature engineering, EDA, Data visualization, modeling, interpretation), Web-app development, GitHub, Cloud services - Heroku, AWS, Streamlit
  • Cheminformatics: Ligand & structure-based drug design, Text mining, Knowledge graph, Chemical structure analysis, QSAR, virtual screening, virtual libraries, ADME, scaffold analysis, MOE, ChemAxon, ChemDraw, Cytoscape, RDKit, PubChemPy
  • Bioinformatics: Molecular docking and analysis using computational chemistry tools like Schrodinger, MOE and AutoDock
  • Metabolomics: Untargeted metabolomics, Mass spectrometric data analysis, Univariate and Multivariate statistical analysis

    Email

    divya.karade@gmail.com

    Phone

    +91 8830379882

    Address

    Pune, Maharashtra
    India- 411008