Consultation Overview
Machine Learning for Drug Discovery
I provide advanced mentorship in applying machine learning techniques to drug discovery and computational biology projects. My work integrates biological data with AI-driven approaches, including the use of SMILES-based molecular representations, feature engineering, and model benchmarking to identify potential therapeutic candidates. I also guide students through molecular docking and virtual screening workflows to validate computational predictions. What you will gain:
Understanding of ML models (Random Forest, SVM, XGBoost, etc.)
Data preprocessing and feature engineering for biological datasets
Building and evaluating predictive models
Drug-likeness assessment and candidate prioritization
Integration with molecular docking and virtual screening
This service is best suited for students aiming to work on cutting-edge, interdisciplinary projects or those targeting research publications in computational drug discovery.
Service Details
What's Included
- Video consultation
- Personalized guidance and advice
- Session notes and recommendations
- Follow-up support via email
Pricing Options
- Single Session ₹1,500
- Full Project ₹60,000
About Nymphaea Arora
I am a neuroscience and computational biology researcher focussing on unraveling the molecular mechanisms by integrating in-vivo in-silico techniques to decode the signaling cascades driving cognitive decline. Alongside mechanistic research, I develop AI/ML-based drug prediction alongwith molecular docking and simulations pipelines to identify therapeutic candidates. My long-term goal is to design clinically relevant interventions for neurodegenerative diseases with data-driven drug discovery.
Experience
Bioinformatics
Specialized expertise in bioinformatics with 6 years of professional experience.