Machine Learning Day 2025
Event description
- Academic events
Machine Learning Day 2025 - ASU West Valley, La Sala Ballroom
8:45 – 9:00 a.m. – Welcome and Opening Remarks
Dr. Vernon Morris, Associate Dean Knowledge Enterprise and Strategic Outcomes, New College of Interdisciplinary Arts and Sciences, Arizona State University.
9:00 – 9:55 a.m. – Keynote Address 1
Dr. Jyh-Jing Hwang, Research Scientist and Tech Lead Manager at Waymo Research – “When Multimodal Large Language Models Meet Autonomous Driving”
10:00 – 11:00 a.m. – Morning Session 1
Dr. Ben Lucas, Assistant Professor, Department of Mathematics and Statistics, Northern Arizona University - "How an Australian with no epidemiology background joined the CDC's COVID19 Forecasting Hub"
Dr. Mihai Cucuringu, Professor, Department of Mathematics, University of California, Los Angeles - “Graph Machine Learning for Financial Applications”
Dr. Andrew Maynard, Professor, School for the Future of Innovation in Society, Arizona State University - “Artisanal Intellectuals in an Age of Artificial Intelligence”
11:05 – 11:15 a.m. Coffee Break
11:15 a.m. – 12:15 p.m. Morning Session 2
Dr. Laura Weinstock, Sandia National Laboratories - “Deciphering Universal Gene Expression Design Rules Using Machine Learning for On-Demand Engineering and Surveillance of Fungi for Biomanufacturing.”
Dr. Hua Wei, Assistant Professor, School of Computing and Augmented Intelligence, Arizona State University - “Toward Reliable Decision Making with AI Agents”
Dr. Spring Berman, Associate Professor, Mechanical and Aerospace Engineering, Arizona State University - "Learning-Based Approaches for Swarm Robotic Coverage and Coordination using Local Sensing"
12:15 – 12:55 p.m. LUNCH
12:55 – 1:40 p.m. Keynote Address 2 TBA
1:40 – 1:50 p.m. Coffee Break
1:50 – 2:50 p.m. – Afternoon Session 1: Lighting Talks
Sangeet Ulhas, Mechanical Engineering, Arizona State University - "Closing the Sim2Real Gap in Autonomous Vehicle Perception and Controller Design with Generative AI Models"
Pooja Chitre, Human and Social Dimensions of Science and Technology, Arizona State University - "Data work in healthcare: Understanding human-data collaboration for quality improvement in hospitals"
Eric Sjostedt, Informatics and Computing, Northern Arizona University - "Impact of Thermoelectric Power Plant Operations and Water Use Reporting Methods on Thermoelectric Power Plant Water Use"
Yingheng Wang, Department of Computer Science, Cornell University - “Talk Title Forthcoming”
Marios Papachristou, Department of Computer Science, Cornell University - "Network Formation and Dynamics among multi-LLMs"
Nilay Yilmaz, School of Computing and Augmented Intelligence, Arizona State University - "Bridging Perception and Reasoning: Can Multimodal Large Language Models Solve Visual Analogies"
2:50 – 3:00 p.m. Coffee Break
3:00 – 4:00 p.m. – Afternoon Session 2
Dr. Gina Dumkrieger, Clinical Research, Mayo Health - “Leakage and Lack of a Ground Truth: Challenges of ML in Medicine”
Dr. Nicholas Proferes, Associate Professor, School of Social and Behavioral Sciences, Arizona State University - "AI, IRBs, and Research Ethics"
Dr. Brian Lee, Postdoctoral Scholar, University of California, San Diego - "Bayesian Prospection for Robot Autonomy under Uncertainty"
4:00 – 5:00 p.m. – Afternoon Session 3
Dr. John Almasan, TIAA - "The role of Generative AI in reshaping job functions and workflows."
Ted Braun, DayBreak AI - "Productizing Demand Forecasting, and how to keep up with, and exploit AI within the space"
Sandeep Voona, ServiceNow - "Precision Medicine: AI’s Role in Personalized Healthcare"
(Photo: Dr. Jyh-Jing Hwang, Research Scientist and Tech Lead Manager at Waymo Research)