Alumni and Projects
2025 Cohort
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Nazik Akmatalyeva
DSI Summer Lab Research Assistant; Student, Von Steuben Metropolitan Science Center -
Prince Amoah Kofi Attah
DSI Summer Lab Research Assistant; Student, University of Wisconsin, Madison -
Clara Cui
DSI Summer Lab Research Assistant; Student, University of Illinois Urbana-Champaign -
Jin Das
DSI Summer Lab Research Assistant; Student, Brown University -
John Falciglia
DSI Summer Lab Research Assistant; Student, Walter Payton College Prep -
Leyou Gessessew
DSI Summer Lab Research Assistant; Student, Wellesley College -
Zoey Hall
DSI Summer Lab Research Assistant; Student, Howard University -
Ruben Hayrapetyan
DSI Summer Lab Research Assistant; Student, The University of Chicago Laboratory Schools -
Joshua Hikida
DSI Summer Lab Research Assistant; Student, University of Chicago -
Smriti Kumar
DSI Summer Lab Research Assistant; Student, Adlai E. Stevenson High School -
Vincent Liao
DSI Summer Lab Research Assistant; Student, University of Chicago -
Enrico Madani
DSI Summer Lab Research Assistant; Student, University of Chicago -
Na Nguyen
DSI Summer Lab Research Assistant; Student, Brown University -
Mahi Raj
DSI Summer Lab Research Assistant; Student, University of Illinois at Chicago -
Varun Rayamajhi
DSI Summer Lab Research Assistant; Student, University of Richmond -
Alex Sanchez
DSI Summer Lab Research Assistant; Student, Florida International University -
Bertha Shipper
DSI Summer Lab Research Assistant; Student, Vassar College -
Olivia Sopala
DSI Summer Lab Research Assistant; Student, Barnard College of Columbia University -
Willow Stenglein
DSI Summer Lab Research Assistant; Student, University of Texas at Austin -
Kartavya Suhagiya
DSI Summer Lab Research Assistant; Student, The Pennsylvania State University -
Henry Tsay
DSI Summer Lab Research Assistant; Student, Purdue University -
Malcolm Whites
DSI Summer Lab Research Assistant; Student, University of Chicago
Mentors: Sarah Sebo, Tess Flanagan
Project: Children Helping Robots: Exploring the Influence of Helping on Child–Robot Connections
Mentor: Pedro Lopes
Project: EMS Assisted Language Learning
Mentor: Ken Nakagaki
Mentor: Kyle Chard, Daniel Grzenda
Project: Learning the Tide: Correlation Analysis & LSTM Forecasts of Sea Level Sensor Data
Mentor: Sarah Sebo, Tess Flanagan
Project: Children Helping Robots: Exploring the Influence of Helping on Child–Robot Connections
Mentors: Chibueze Amanchukwu and Kyle Chard
Project: Database Creation and Machine Learning Development for Next-Generation Battery Materials
Mentor: Anna Woodard
Project: Decoding Neoangiogenesis: Vascular Graphs from Breast MRI as Predictors of Cancer Biology
Mentor: Tian Li
Project: Convergence Bounds and Data Similarity Effects in Publicly-Assisted Differentially Private Optimization Algorithm
Mentors: Yuxin Chen, Brian Nord
Project: Active Simulation-Based Inference for Gravitational Lensing Instrument Design
Mentor: Tian Li
Project: Convergence Bounds and Data Similarity Effects in Publicly-Assisted Differentially Private Optimization Algorithm
Mentor: Jai Yu
Project: Real-time Automated Sleep Scoring in Rats using CNN
Mentors: Yue Lin, Julia Koschinsky
Project: Adversarial Collaboration as Pedagogy: Enhancing Spatial Reasoning through Chatbot Dialogue
Mentors: Yue Lin, Julia Koschinsky
Project: Adversarial Collaboration as Pedagogy: Enhancing Spatial Reasoning through Chatbot Dialogue
Mentors: Giuseppe B. Cerati, Aleksandra M. Ciprijanovic, V. Hewes
Project: NuGraph3 – Architecture Matters: Refining Training Efficiency and Evaluating Object Condensation in Neutrino Event Reconstruction
Mentor: Pedro Lopes
Project: Computer Vision-Based Downgaze Palsy Assessment for PSP Diagnosis
Mentors: Yuxin Chen, Brian Nord
Project: Active Simulation-Based Inference for Gravitational Lensing Instrument Design
Mentors: Yuan Chang Leong, Monica Rosenberg
Project: Predicting Neural Responses to Multimodal Stimuli with Machine Learning Models
Mentors: Yuan Chang Leong, Monica Rosenberg
Project: Predicting Neural Responses to Multimodal Stimuli with Machine Learning Models
Mentors: Pedram Hassanzadeh, Qiang Sun
Project: Transfer Learning for Predicting Extreme Tropical Cyclones
Mentor: Giuseppe B. Cerati, Aleksandra M. Ciprijanovic, V. Hewes
Project: NuGraph3 – Architecture Matters: Refining Training Efficiency and Evaluating Object Condensation in Neutrino Event Reconstruction
Mentors: Chibueze Amanchukwu, Qinan Huang, Zhiyuan Han
Project: AI-Assisted Extraction of Molecular Mixture Properties from Scientific Literature
Mentors: Pedram Hassanzadeh, Dhruvit Patel, Alexander Wikner, Karan Jakhar
Project: Designing Curated Training Datasets to Assess AI Weather Models for Extreme Weather
