Research & Technical Reports

Welcome to Olivia Chatterjee’s Research & Technical Reports —
a collection of research and applied AI/ML projects conducted across academic institutions and industry partners.

Research Portfolio (Summary Deck)

This presentation summarizes Olivia Chatterjee’s current research interests, applied AI/ML projects, clinical/diagnostic work, and publication status.
It is intended for academic review by prospective supervisors and collaborators.

Download Research Portfolio (PDF):
Research_Portfolio.pdf

Publications / Preprints

O. Chatterjee, A. Kole, I. SenGupta, and A. Majumdar.
“Forecasting Stock Market Crashes Using Deep Learning.” Preprints, October 2025.

Individual Research & Project Reports

Hoover Institution, Stanford University

Predictive Modeling for Country Vulnerability Assessment
Jul 2025 – Present
Global Resilience Intelligence Platform & Partnership [GRIPP] - Developing multi-horizon predictive models to estimate country-level vulnerabilities across political, economic, environmental, and social dimensions using advanced ML architectures (LSTM, DRL).
This research enhances early-warning capabilities for geopolitical risk analysis and resilience planning.

Download Report / Live Access: Version Alpha released in Mid-October 2025 - Live in UAT https://gripp.entiovi.net [Please ask for credentials]

Occidental College

Classification of Tabular Data Using CNN for Cancer Detection
Aug 2024 – Jul 2025
Explored transforming structured biomedical datasets into image-like representations to enable CNN-based classification.
Achieved ~75 % accuracy in cancer detection using genomic data, demonstrating deep learning’s feasibility for structured biomedical data.

Download Report:
Occidental College Research Project Report

Tosoh India Pvt. Ltd.

Pre-Natal Risk Assessment Engine (PINE)
Oct 2024 – Mar 2025
Designed an AI-powered system to assess maternal serum screening results for predicting fetal risks of congenital disorders.
Implemented neural networks and ensemble methods (Random Forest, XGBoost) under differential-privacy constraints to safeguard patient data.

Download Report:
Prenatal_Risk_Assessment_Engine

Florida International University

Financial Time Series Analysis with Data-Science Techniques
Apr 2024 – Jul 2024
Analyzed decade-long stock-market data to identify early crash indicators using time-series transformations and supervised learning models.
Provided interpretable early-warning insights for financial anomaly detection and market-stability forecasting.

Download Report:
Financial_Time_Series_Analysis.pdf

Entiovi Technologies Pvt. Ltd.

Chromatography Data Analysis and Secure Sensitive Medical Data with Encryption
Dec 2023 – Jul 2024
Built a logic-based diagnostic engine to automate chromatogram interpretation for HbA1c analysis, employing Prolog reasoning and data-encryption techniques.
Successfully deployed in live HPLC analyzers across hospitals in India, reducing diagnostic turnaround time.

Download Report / Live Access :
Live in Production - No public access.

Last updated: October 2025