eMERGE seminar
Merging talents. Emerging ideas. Shaping the future.
Welcome to the Berkeley early-career Mobility & Energy Researchers’ Group Exchange (eMERGE seminar). eMERGE is a dedicated platform for early-career researchers who are pursuing academic careers. We warmly welcome final-year PhD students, postdoctoral scholars, and incoming assistant professors to take this unique opportunity to present research, refine ideas, and build community among peers working at the intersection of mobility, energy, infrastructure, and sustainability.
eMERGE was started in Fall 2025 by Yi Ju, and is now organized by Aparimit Kasliwal with the guidance of Prof. Scott Moura and Prof. Marta Gonzalez. Read the opening remarks here.
🥳 Photo highlights from the eMERGE Seminar’s presentations in the 2025–26 academic year. Join us to feel the energy in the air! (🎞️more high resolution images)
Please join our mailing list to keep always updated & enjoy exclusive networking opportunities!
- Time: Mondays 10 - 11 AM
- Our next seminar will be on Sep 28.
- Once you join our mailing list, the up-to-date schedule will appear on your Google Calendar.
- Location: Room 320, Soda Hall, UC Berkeley.
- Researchers around the globe are welcome to join our livestream on Zoom or YouTube.
Please refer to the join us page for more logistical details.
Upcoming Seminars
By joining our mailing list, calendar events will automatically appear and be updated on your calendar - no need to add them manually.
Max Ng Senior Machine Learning Engineer at Uber Autonomous Mobility Watch on YouTube
Title: Redesigning Multimodal Transit Networks With Shared Autonomous Mobility Services
Guangyuan Weng PhD Candidate at Northeastern University
Title: Beyond Distance: Mobility Neural Embeddings Reveal Visible and Invisible Barriers in Urban Space
Kehang Zhu Postdoctoral Fellow at Stanford Digital Economy Lab
Topic: Automated Social Science: Language Models as Scientist and Subjects
Siddharth Patwardhan Research Assistant Professor at Kellogg School of Management Northwestern University
Topic: Mathematical Models to explain large-scale empirical patterns in Complex Systems
Tianming Liu Schmidt AI in Science Fellow at Michigan Institute of Data Science & AI in Society University of Michigan
Title: Human-Aligned LLM Agents for Behavior Modeling in Transportation