About Me
I am currently pursuing a Ph.D. at IIT Bombay, where I specialize in drug discovery using artificial intelligence. My research is at the intersection of AI and biomedicine, where I am focused on leveraging cutting-edge technologies such as generative AI, deep learning, and machine learning to revolutionize the way we discover and develop new drugs. In my current work, I aim to accelerate the drug discovery process by developing AI-driven models that can predict potential drug candidates, optimize drug design, and simulate drug interactions with unprecedented accuracy. My goal is to contribute to the development of personalized medicine and innovative treatments that can make a tangible difference in healthcare.
Research Areas
- Generative AI
- RNA Therapeutics
- Large Language Models
- Anti Sense Oligonucleotide
Education
PhD, AI
Indian Institute Of Technology, Bombay (2024–2028)
M.Tech, AI
Delhi Technological University (2022–2024)
B.Tech, ECE
Guru Gobind Singh Indraprastha University (2018–2022)
Skills
Research Work
PhD Thesis: Drug Discovery Using AI
Present
Developing a platform to identify drug candidates through advanced artificial methods, facilitating rapid compound screening, predicting efficacy based on chemical structure, and generating potential lead drug compounds.
Skills Used: Generative AI, Machine Learning, Deep Learning, Molecular Modeling
M.Tech Thesis: Advancing Visual Narration Through Transformers
May 2024
Conducted in-depth research on the development of a novel deep learning architecture for generating textual descriptions from images using CNNs, RNNs, transformers, and GANs.
Skills Used: Computer Vision, NLP, Deep Learning, Transformers, Large Language Models
Publications
Enhancing Image Captioning with Transformers and EfficientNet for Fine-Grained Detail Inclusion
Authors: Shubham Thakur, Dr. Aruna Bhat
Journal: AIP Conference Proceeding, 2024
Read PaperTextualizing Images: A Comprehensive Review of Image Captioning Using Deep Learning
Authors: Shubham Thakur, Dr. Aruna Bhat
Journal: AIP Conference Proceeding, 2024
Read PaperGenerating Textual Description Of Image Using Various Deep Learning Techniques
Authors: Shubham Thakur
Journal: ArXiV, 2024
Read PaperCross-Tissue Biomarkers for Hepatitis B Virus-Related Hepatocellular Carcinoma
Authors: Shubham Thakur
Journal: BioRxiv, 2024
Read PaperProject Work
AI-Driven Drug Discovery Platform
Developed a platform to identify drug candidates using machine learning algorithms, facilitating lead generation and compound screening.
GitHub Repository
Automated Skin Cancer Diagnosis with DenseNet
Deep learning model based on DenseNet architecture for classifying skin lesions as malignant or benign, aiding dermatology diagnostics.
GitHub Repository
Fashion Search Engine (Recommender System)
Built a recommender system using matrix factorization, cleaned large clothing dataset, and optimized algorithms for trend analysis.
GitHub Repository
Automated Candidate Evaluation using NER
Resume screening system using Named Entity Recognition to extract candidate information and streamline hiring process.
GitHub Repository
GRU-based Method for Accurate Traffic Forecasting
Developed GRU model leveraging historical traffic data to improve flow prediction accuracy for transportation planning.
GitHub Repository
Intelligent Vehicle Using Image Processing
Path detection algorithm optimized for low-memory devices (Raspberry Pi) using OpenCV for autonomous navigation.
GitHub Repository
IPFS Based Data Sharing And Storing Application
Decentralized platform using IPFS protocol for secure and efficient data storage and sharing.
GitHub RepositoryTeaching Assistantship
- Multi-omics Of Ageing • Spring 2025
- Wearable Health Technologies • Fall 2024
- Data Structures • Spring 2024
- Machine Learning • Fall 2023
- Data Warehouse And Data Mining • Spring 2023
- Neural Networks • Fall 2022
Contact
Email: shubhamt311@gmail.com