About Me
I am a senior at Mount Holyoke College double majoring in Computer Science and Statistics. I am applying to PhD programs for Fall 2026, driven by a passion for developing AI systems that address meaningful real-world challenges.
My research interests center on machine learning for education, natural language processing, computational biology, and robotics. I am particularly drawn to work that bridges multiple disciplines, whether that's using NLP to understand student learning patterns, applying computational methods to accelerate drug discovery, or developing intelligent systems that can reason and interact with complex environments. I believe the most impactful advances in AI come from combining rigorous technical work with deep attention to societal applications.
Beyond academics, I serve as President of the Bangladeshi Student Association and work as a Resident Advisor, roles that have strengthened my commitment to building communities.
Research Interests
- Machine Learning & Education : Developed a MCMC-inspired pipelines with large language models for interpretable student persona generation and performance prediction.
- Computational Biology & Drug Discovery: Investigating protein-ligand binding affinity through Probabilistic Roadmap motion planning algorithms with energy-based evaluation. Benchmarking computational methods against industry standards to accelerate drug discovery processes.
- Robotics & Motion Planning: Exploring multi-robot coordination, autonomous systems optimization, and path planning algorithms. Integrating classical motion planning techniques with modern computational approaches for improved efficiency and accuracy.
- Natural Language Processing: Large language model applications, retrieval-augmented generation (RAG) systems, and AI-powered information systems for real-world applications.
Publications & Presentations
Publications
Conference Presentations
Research & Professional Experience
- Designed a Metropolis-Hastings-inspired MCMC iterative pipeline with large language models to generate interpretable student personas and predict student performance
- Applied prompt engineering techniques to optimize LLM outputs for educational data analysis
- Implemented modular pipeline architecture with iteration logging system to track performance gains across different user groups and item categories
- Built supporting baselines and comparison frameworks to evaluate different modeling approaches
- Developed protein-ligand binding affinity scoring approach by modifying Probabilistic Roadmap (PRM) motion planning algorithm with energy-based evaluation
- Benchmarked results against industry-standard tools (AutoDock, CAVER) to analyze geometric and energetic constraints
- Integrated OpenMM molecular dynamics simulations with motion planning algorithms to generate optimal energy for the binding sites.
- Explored triangular agent-based model to simulate fractal growth patterns in spin-coated polymers
- Generated statistics using ImageJ/Fiji with Mitochondrial Network Analysis (MiNA) preprocessing
- Developed automated algorithm to calculate angles between polymer branches
- Performed data analysis on 300k+ rows of taxi data to identify market trends for investment decisions
- Built and evaluated ML models (Logistic Regression, Random Forest) for medical condition prediction
- Deployed final model as Flask web application on Heroku
Selected Projects
CurrencyPairs
Best Finance Hack Winner - HackHolyoke 2024Real-time forex analytics platform with predictive insights. Integrated live data from yFinance and OANDA API with interactive dashboard.
Theraplane
HackHarvard 2024AI-powered scheduling platform using GPT-4 and RAG to prioritize student appointments by urgency for college counselors.
Healthcare Persistency Prediction
Machine Learning ApplicationRandom Forest model predicting patient medication adherence with comprehensive feature engineering and web interface.
Cat Loaf CNN Classifier
Deep LearningCNN achieving 66% validation accuracy classifying cat poses with advanced preprocessing and data augmentation.
Awards & Leadership
Awards & Honors
- Leadership Academy Fellow - University of Massachusetts Amherst (2024). Selected for a competitive fellowship focused on leadership development, negotiation, and strategic communication. Completed intensive workshops with industry leaders and collaborated on case-based problem-solving.
- Jennifer Dawn Landry '93 Memorial Award - Mount Holyoke College (2025). Awarded to a student demonstrating exceptional perseverance, resilience, and dedication to academic and community excellence.
- Andrew W. Mellon Fund for Research Internship - Awarded for academic excellence and commitment to advancing research. Supported full-time summer research in mathematical modeling.
- MHC Leadership & Service Award - Mount Holyoke College (2023). Recognized for outstanding contributions to campus community building, cross-cultural engagement, and mentorship through student organizations and residence life.
Leadership Positions
- President, Bangladeshi Student Association (2023 - 2025). Leading cultural initiatives and community events fostering cross-cultural understanding.
- Resident Advisor, Mount Holyoke College (2023 - Present). Mentoring students and creating supportive residential environments.
- Marketing & Media Assistant, Computer Science Society (2024 - 2025). Developing marketing strategies to increase student engagement with CS opportunities.
- Hall Senator, Student Government Association, Mount Holyoke College (2023 - 2024). Elected liaison advocating for student needs in college governance.
Contact
Feel free to reach out via email at chowd23f@mtholyoke.edu or connect with me on LinkedIn. I'm always happy to discuss research collaborations, internship opportunities, or just chat about cool ideas!
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