This year, we proudly present 73 project groups spread across a variety of topics.
The showcase is divided into two blocks based on topics, 10.30AM-12PM and 1.00-2:30PM.
The showcase will operate as a poster session, where attendees can approach the projects that interest
you and ask their teams questions.
Below, you'll find the posters, websites, reports, and code repositories for all projects.
Jump to:
Block 1 (10.30-12:00PM) •
Block 2
(1.00-2:30PM) Floormap of Posters
Block 1 (10.30AM-12:00 noon)
AI and Health
B08-1
Multi-Facility Patient Flow Optimization: A Simulation Approach
Kayanne Tran, Nadine Orriss (Mentor(s): Aaron Boussina and Dr. Karandeep Singh)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B08-2
Large Language Models as Information Extractors in Healthcare
Leah Seseri, Lewis Weng, Omid Alamdar (Mentor(s): Karandeep Singh, Aaron Boussina)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B08-3
Large Language Models for Trauma Care Quality
Kaijie Zhang, Viv Somani (Mentor(s): Aaron Boussina, Karandeep Singh)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B14-1
The Influence of IQ on the Brain’s Auditory Cortex Activation in Schizophrenia
Katrina Suherman, Paige Pagaduan, Rheka Narwastu (Mentor(s): Armin Schwartzman and Gabriel Riegner)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B14-3
Pre-Screening Motor-Imagery BCI Literacy Using Low-Sample EEG-Derived Features
Shaheer Khan, Daniel Mansperger, Andrew Li (Mentor(s): Armin Schwartzman, Gabriel Riegner)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B16-1
Clinical Trial Matcher
Aryan Kanuparti, Yen-Hsiang Chiu, Viveka Dhanda, John Collins (Mentor(s): Abed El-Husseini, Balaji Veeramani)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B18
Absolute vs. Relative Microbial Abundances: Predictive Performance on EHR Data and Transformability
Monica Dai, Sophie Wang, Nathan Wang, Katelyn Zhao, Camille Sicat (Mentor(s): Dr. Rob Knight)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B20-1
Multimorbidity-Aware Early Sepsis Prediction Using Patient_Specific Deterioration Trajectories
Yash Patel, Ethan Vo, Guoxuan Xu, Varun Pabreja (Mentor(s): Kyle Shannon)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B20-2
Multimorbidity-Aware Early Sepsis Prediction Using Cluster-Specific Deterioration Patterns
Samuel Mahjouri, Juntong Ye, Utkarsh Lohia, Kate Zhou(Mentor(s): Kyle Shannon)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B21-1
Classification of Pulmonary Edema: Combining Physician Assessment and Machine Learning Inference, Integrating Neural Networks with Large Language Models
Kendall Underwood, Jeru Balares, Dallas Plunkett (Mentor(s): Albert Hsiao)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B22
Graph-Based Phenotyping of Morphine Dose Effects and Recovery in Mice
Kyra Deng, Michael Vasandani, Matthew Budding, Pansy Kuang (Mentor(s): Benjamin Smarr, Manny Ruidiaz)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B23-1
Neuro-Symbolic Framework for predicting Off-Target effects using Gene and Phenotype Ontologies
Hannah Lee, Haily Vuong, Stephanie Yue, Zoey He (Mentor(s): Raju Pusapati, Murali Krishnam, Justin Eldridge)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B23-2
Neuro-Symbolic Off-Target Prediction for Pralsetinib Using Ontology-Grounded Knowledge Graphs
Ishaan Bal, Taranvir Chima, Suchit Bhayani, Ryan Cao (Mentor(s): Justin Eldridge)
Poster 🪧
Website 🌐
Report 📖
Code 💻
Applied AI
B01-2
Evaluating Credit Risk Through Transaction-Level Cash Flows: A Data-Driven Alternative to Traditional Scoring
Ada Mo, Brighton Chan, Haris Saif, Kyle Choi (Mentor(s): Kyle Nero, Daniel Mathew)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B01-3
Beyond Credit Scores: Transaction-Level Modeling for Credit Risk
Ethan Flores, Aile Banuelos, Yujie Kang, Jason Kim (Mentor(s): Kyle Nero, Daniel Mathew)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B03-1
Integrating Wearable Devices with Digital Twin Models for Personalized Health Insights
Levy Sahoo, Dhyay Thakrar, Essie Cheng, Selina Zhang, Camille Tran (Mentor(s): Tauhidur Rahman)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B03-2
Patient-Specific Cardiovascular Digital Twin for Personalized Cardiac Monitoring/b>
Brandon Ng, Shruti Yamala, Samuel Eun (Mentor(s): Tauhidur Rahman)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B04
DataLingo
Norah Kerendian, Sadrac Santacruz Ibarra, Yiran Zhao, Kevin Wu, Natasha Lie, Chloe Kim, Eshaan Roy, Omar Ali (Mentor(s): Benjamin Smarr)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B05-1
Quantifying the Economic Impacts of Potential Sea-Level Rise
Nolan Chu, Ritvik Mohindru, Desmond Vu (Mentor(s): Duncan Watson-Parris)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B05-1
Predicting HAB Risk Through Climate Modeling and Machine Learning
Owen Yang, Sohan Raval, Adams Yang, Sivaram Ari (Mentor(s): Duncan Watson-Parris)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B07
Automated Quality of Service Anomaly Detection in Wildfire Monitoring Networks Using Vision Transformers
Rishaant Jain, Sharon Ni, Aneesh Pamula, Josh Osofsky (Mentor(s): Nathan Hui, Falko Kuester, Neal Driscoll)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B09
Hunting for Ghost Particles
Prithvi Kochhar, Eunice Cho, Jade Choi, Nomin Batjargal (Mentor(s): Aobo Li)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B12
Alternative Input Interfaces for Audio Consumption
Ryan Ly, Justin Lu, Edgar Cisneros Barron, Tim Mao, Devesh Panda, Wan-Rong (Emma) Leung (Mentor(s): Victor Minces, Virginia da Sa)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B13-1
Wildfire Property Intelligence: Finding Outliers Before Fire Finds Them First
Tatiana Samokhvalova, Angela Shen, Sardor Sobirov, Nathaphat Taleongpong (Mentor(s): Peter Nagy, Lawrence Vulis)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B13-2
Wildfire Severity and Structural Damage Prediction in Wildland-Urban Interface (WUI) Areas
Rushyendra Katabathuni, Reema Alsaeed, Chanyoung Park, Jahnavi Naik (Mentor(s): Ilyes Meftah)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B13-3
Wildfire Frequency and Damage Prediction for Real Estate Applications
Stuti Verma, Gahn Wuwong, Lacha Barton-Gluzman, Diego Arevalo Fernandez (Mentor(s): Ilyes Meftah)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B14-2
Structural vs. Chemical: A Statistical Approach to the Multimodal Covariance Structure of the Human Brain
Kevin Souder, Kevin Huang (Mentor(s): Armin Schwartzman and Gabriel Riegner)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B15-1
Balancing Privacy and Utility: Differentially Private Synthetic Data Generation for Intel Telemetry
Dhruv Patel, Reva Agrawal, Jordan Lambino (Mentor(s): Yu-Xiang Wang, Dr. Bijan Arbab)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B16-1
Personalized Supplement Recommender Using Agentic AI and Knowledge Graphs
Kevin Chen, Parna Praveen, Sia Patodia, Jovanna Fernando (Mentor(s): Abed El-Husseini, Balaji Veeramani)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B19-1
PREVAIL: Predictive Response for Emergency Volume Assessment in Incident Locations
Aditya Surapaneni, Suhani Sharma, Angela Hu, Subika Haider (Mentor(s): Phi Nguyen, Mike Hilden, Chuck Hahm, Fatemeh Aarabi)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B19-2
Seeing the System: A World Model for SDG&E Scheduling
Stephanie Wang, Zhenghao Gong, Weijie Zhang, Bingyan Liu (Mentor(s): Phi Nguyen, Chuck Hahm, Fatemeh Aarabi)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B19-3
ROAM: From Data to Dispatch
Derrick Nguyen, Iain Bustillos, Nathan Dang, Brian Docena (Mentor(s): Phi Nguyen)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B24-2
Generative AI For Good: Detecting Misinformation Online
Daniel Birman, Gavin Meregillano, Selina Wu (Mentor(s): Ali Arsanjani, Sam Lau)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B24-3
Multi-Agent Misinformation Analysis System
Amelia Lei, Jacquelyn Garcia (Mentor(s): Ali Arsanjani, Samuel Lau)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B24-4
LiarDB
Kliment Ho, Kevin (Keqing) Li, Shiwei Yang (Mentor(s): Samuel Lau, Ali Arsanjani)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B25
Workforce Optimization on Intuit’s Virtual Expert Platform
Hao Zhang, Jackie Wang, Sarah He, Sophia Fang (Mentor(s): Akash Shah, Lisa Li, Victor Calderon, Ken Yocum and Joe Cessna)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B26-1
Agentic and Fractal Reasoning for Article-Level Automated Fact-Checking
Cecilia Lin, Yulin Chen, Yaoxi Li (Mentor(s): Ali Arsanjani and Samuel Lau)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B26-1
Misinformation/Disinformation Detection Using Agentic AI
Chris Mo, Ryan Xavier (Mentor(s): Ali Arsanjani, Sam Lau)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B01-1
Utilizing Cashflow Underwriting for Fairer Credit Assessment
Heidi Tam, Jasmine Hong, Ellie Wang, David Tsukamoto (Mentor(s): Kyle Nero, Daniel Mathew)
Poster 🪧
Website 🌐
Report 📖
Code 💻
Block 2 (1:00 - 2:30 PM)
Blockchain
B10
Blockthentic
Andres Riera Ortiz Parraga, Jonathan Gu, Snigdha Podugu, Fred Danese, Ryan Cheung (Mentor(s): Rajesh Gupta)
Poster 🪧
Website 🌐
Report 📖
Code 💻
Systems & Hardware
A02-1
Hardware Acceleration for Tensor Multiplication in Neural Networks
Owen Shi, Edgar Guzman, Idhant Kumar (Mentor(s): Rajesh Gupta)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A02-2
Hardware Acceleration for Tensor Multiplication in Neural Networks
Brendan Kuang, Pranav Kumarsubha, Brandon Chiou (Mentor(s): Rajesh Gupta)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A08-2
Inference-Time Scaling for GUI Agents with Process Reward Models and Internal World Models
Bella Wang, Rita Yujia Wu, Shuchang Liu, Ziyu Huang (Mentor(s): Zhiting Hu, Kun Zhou)
Poster 🪧
Website 🌐
Report 📖
Code 💻
Interpretability, Alignment & Fairness
A03
The Effect of Concept Neuron Perturbations in Concept Bottleneck Models
Neil Dandekar, Christian Guerra (Mentor(s): Lily Weng)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A07-2
Judging-the-Judges
Haoyang Yu, Jessie Zhang, Jessica Zhang, Anduo Zhang (Mentor(s): Ryan Lingo, Rajeev Chhajer)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B21-2
Explaining Black box predictions in Medical AI
Brian Huynh, Joshua Lee, Zoya Hasan (Mentor(s): Albert Hsiao)
Poster 🪧
Website 🌐
Report 📖
Code 💻
LLMs & Foundation Models
A06-2
Towards Trustworthy Reasoning: Hybrid RFT for Reliable LLM Reasoning
Hargen Zheng, Charlie Sun, Avi Mehta, Mihir Joshi (Mentor(s): Hao Zhang)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A07-1
Iterative Refinement of LLM as judge Framework
Zachary Thomason, Akshay Medidi, Rahul Sengupta, Zeyu Qi (Mentor(s): Ryan Lingo, Rajeev Chhajer)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A07-3
ContextEval: Evaluating LLM Agent Context Policies for ML Experiment Design
Hikaru Isayama, Julia Jung, Adrian Apsay, Raghavan Narasimhan (Mentor(s): Rajeev Chhajer, Ryan Lingo)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A08-1
Think, Search, Correct: A Self-Reflection Mechanism for Adaptive Tool-Use Agents
Arshia Vadhani, Megha Kataki, Joyce Lu, Jiaxin Yang (Mentor(s): Zhiting Hu, Kun Zhou)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A08-3
Benchmarking LLM-Generated Biological Hypotheses for Scientific Discovery
Jefferson Chen, Samuel Lee (Mentor(s): Zhiting Hu; Zhen Wang)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A09
Human-Centered Algorithmic Bias Auditing of Large Language Models
Derrick Dollesin, Rosey Gutierrez, Huize Mao, Bhagya Ram (Mentor(s): Stuart Geiger)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A12
Uncertainty Quantification in Large Language Models
Fong Vo, Pranav Singh, Calwin Li, Brooklyn Pagaza (Mentor(s): Yian Ma)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A15-1
Motif-preserving Graph Tokenization for Biological Structure Generation using Sequence Transformer
Kaiwen Bian, Andrew H. Yang (Mentor(s): Yusu Wang, Gal Mishne)
Poster 🪧
Website 🌐
Report 📖
Code 💻
Math & Algorithmic Foundations
A04-2
Causal Calibration: Precision Tuning Causal Analysis Algorithms for Domain Performance
Laura Diaz Rodriguez, David Oh, Yukon (Yujin) Lee (Mentor(s): Biwei Huang)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A13
Communication lower bounds for multi-party graph traversal
Ryan Batubara, Ivy Hawks, Darren Ho, Ciro Zhang (Mentor(s): Shachar Lovett)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A17
Simulation Coding Exercises for Teaching Probability Theory
Alyssa Tallada, Marguerite Church, Jingjun Ni, Yunqi Zhang, Rihui Ling (Mentor(s): Peter Chi)
Poster 🪧
Website 🌐
Report 📖
Code 💻
ML Theory
A15-1
Hypergraph Learning for General 3D Point Cloud Alignment
Minghan Wu, Chanyoung Park (Mentor(s): Yusu Wang, Gal Mishne)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A01
Curating Fine-Tuning Data with KAIROS-Based Valuation
Deepika Senthil, Matilda Gaddi (Mentor(s): Babak Salimi)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A10-1
TeleSpeak: Modeling Early Language Acquisition with Reinforcement Learning
Longhao Lin, Colin Wang, Banff Jiang (Mentor(s): Alex Warstadt)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A10-2
Sleep-Consolidated Learning & Plasticity Decay
Peter Shamoun, Sai Sri Lasya Yadlapati, Tianqi Zhang (Mentor(s): Alex Warstadt)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A11-1
What Enables In-Context Learning in Transformers? An Analysis of Attention Mechanisms
Anish Kasam, Dhanvi Patel, Krish Prasad, Shou Tai Yue (Mentor(s): Arya Mazumdar)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A11-2
Investigation into In-Context Learning Capabilities of Transformers
Rushil Chandrupatla, Leonardo Bangayan, Sebastian Leng (Mentor(s): Arya Mazumdar)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B02
Agentic Privacy Control Center
Sebastian Ferragut, Nian-Nian Wang, Jesse Huang, Jimmy Huang, Arya Verma (Mentor(s): Haojian Jin, Qiyu Li)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B06-1
"Turbocharging Data Transformation: A Preconditioning Approach to Optimal Transport"
Chengxi Xu, Owen Miller, Cosun Zhou, Chia-Lun Tsao (Mentor(s): Alex Cloninger, Rayan Saab )
Poster 🪧
Website 🌐
Report 📖
Code 💻
B06-1
Automated Labeling of MoCap Data via Rigid-Body Constraints and Temporal Analysis
Takafumi Matsui, Quy-Dzu Do, Caden Pascual, Matt Tokunaga (Mentor(s): Alex Cloninger, Rayan Saab )
Poster 🪧
Website 🌐
Report 📖
Code 💻
B24-1
Generative AI for Good: Detecting and Mitigating Misinformation
Jason Huynh, Raymond Williams, Jonathan Yi (Mentor(s): Ali Arsanjani, Sam Lau)
Poster 🪧
Website 🌐
Report 📖
Code 💻
NLP & IR
A04-1
Market Foundry: From documents to intelligence — built your way.
Marija Vukic, Matthew Wong, Jessica Batbayar (Mentor(s): Biwei Huang)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A06-1
CHAI-KTQ: Extending CHAI Framework for Efficient LLM Inference
Aaron Feng, Andy Huang, Son Nguyen, Zhongyan Luo (Mentor(s): Hao Zhang)
Poster 🪧
Website 🌐
Report 📖
Code 💻
Optimization & Training Dynamics
A05
Beyond Retraining: investigation on how early stopping and sensitivity of different unlearning methods help mitigate the adversarial attack of a simple model
Justin Seo, Qirui Zheng, Imangali Amangeldi (Mentor(s): Jun-Kun Wang)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A14-1
Shortening the Loss Plateau
Jet Yue, Samuel Cho, Tommy Li (Mentor(s): Tianhao Wang)
Poster 🪧
Website 🌐
Report 📖
Code 💻
A14-1
Investigating Optimizer Behavior Under Varying Training Regimes
Eric Cheng, Matthew Jacobsen, Prashant Potluri, Zijin Qin (Mentor(s): Tianhao Wang)
Poster 🪧
Website 🌐
Report 📖
Code 💻
B15-2
Training-free versus training-based differential privacy for data synthesis
Hana Tjendrawasi, Mehak Kapur, Jason Tran, Phuc Tran (Mentor(s): Yu-Xiang Wang)
Poster 🪧
Website 🌐
Report 📖
Code 💻