DSI Summer Programs 2025: Research Symposium
The DSI Summer Lab and Data Science for Social Impact Research Symposium represents the culmination of eight weeks’ worth of student research and hard work. This event is a wonderful opportunity to learn about our students’ exciting summer research projects. The event will include themed sessions where students will present their research projects, followed by live Q&A moderated by their peers. At the end of the event, we will host a poster session and reception. A light breakfast and lunch will be provided.
Talks will take place in John Crerar Library Room 390 (5730 S Ellis Ave). Contact mrlong@uchicago.edu for questions or accessibility concerns.
Agenda
Friday, August 8, 2025
Breakfast
Welcoming Remarks
David Uminsky, DSI Executive Director; Kyle Chard, Summer Lab Faculty Director
Session 1: Policy, Privacy, and Advocacy
- 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
Session 2: Biology, Health, and Wearables
- 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
Break
Session 3: Climate and Environment
- 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
Lunch
Session 4: Education & Ethics
- 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
Session 5: Scientific Discovery & Advanced Interfaces
- 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
Closing Remarks
Evelyn Campbell, DSSI Program Manager; Molly Long, Summer Lab Program Administrator
Poster Session + Reception
Data Science Clinic Information Session
Tudor Manole (MIT): Statistics and DSI Joint Colloquium
Meshes of Midscale Models (M3) Workshop
