DSI Summer Programs 2025: Research Symposium

David Uminsky, DSI Executive Director; Kyle Chard, Summer Lab Faculty Director

• NER on Congressional Donation Records (Jakob Ontiveros, Drew Day, Gabriel Romero Torres, Sloan Louis, Adinai Niiazbekova)
• Commercial Debt Tracker (Bidisha Dalai, Tracy Nguyen, Sonia Pereira, Coral Fragoso Herrera)
• Convergence Bounds and Data Similarity Effects in Publicly-Assisted Differentially Private Optimization Algorithm (Ruben Hayrapetyan, Smriti Kumar)

Co-chairs: Peter Ronemous, Nazik Akmatalyeva

• Real-time Automated Sleep Scoring in Rats using CNN (Vincent Liao)
• Predicting Neural Responses to Multimodal Stimuli with Machine Learning Models (Bertha Shipper, Olivia Sopala)
• Computer Vision-Based Downgaze Palsy Assessment for PSP Diagnosis (Varun Rayamajhi)
• EMS Assisted Language Learning (Prince Amoah)

Co-chairs: Jakob Ontiveros, Jin Das

• Palm Oil Projects Topic Classifier (Uriel Fuentes Figueroa, Yuliia Ihnatesku, Helena Card, Theron White, Nicole Page, Owakamare Princewill)
• Q/A Bot for Agricultural Regulations (Peter Ronemous, Gerardo Rojas, Allen Jones, Amari Gray, Jibek Gupta)
• Transfer Learning for Predicting Extreme Tropical Cyclones (Willow Stenglein)
• Designing Curated Training Datasets to Assess AI Weather Models for Extreme Weather (Malcolm Whites)
• TideCast: Benchmarking Deep Learning Models for Water Level Prediction (Jin Das)

Co-chairs: Malcolm Felix, Olivia Sopala

• Bias/Stereotype Detector in Online Humor (Casidhe Pierre, Malcolm Felix, Avery Pratt, Dickson Acheampong, Jiaqi Scarlett He)
• Children Helping Robots: Exploring the Influence of Helping on Child–Robot Connections (Nazik Akmatalyeva, John Falciglia)
• Adversarial Collaboration as Pedagogy: Enhancing Spatial Reasoning through Chatbot Dialogue (Enrico Madani, Na Nguyen)

Co-chairs: Sloan Louis, Willow Stenglein

• NuGraph3 – Architecture Matters: Refining Training Efficiency and Evaluating Object Condensation in Neutrino Event Reconstruction (Mahi Raj, Kartavya Suhagiya)
• Active Simulation-Based Inference for Gravitational Lensing Instrument Design (Joshua Hikida, Alex E. Sanchez)
• AI-Assisted Extraction of Molecular Mixture Properties from Scientific Literature (Henry Tsay)
• Database Creation and Machine Learning Development for Next-Generation Battery Materials (Leyou Gessessew)
• Clara Cui

Co-chairs: Allen Jones, Prince Amoah

Evelyn Campbell, DSSI Program Manager; Molly Long, Summer Lab Program Administrator