Our Team
Lab Directors
Abhishek Nagaraj
Co-Director, UC Berkeley (Haas)
Abhishek Nagaraj is a Research Associate at the National Bureau of Economic Research (NBER) and an Associate Professor in the Haas School of Business at the University of California, Berkeley. His research and teaching interests are in the area of innovation, entrepreneurship and the digital economy. He earned his PhD in Management at the MIT Sloan School of Management, in the Technological Innovation, Entrepreneurship and Strategic Management (TIES) group.
Matteo Tranchero
Co-Director, University of Pennsylvania (Wharton)
Matteo Tranchero is an Assistant Professor of Management at the Wharton School, University of Pennsylvania, where he teaches the core strategy course in the full-time MBA program. His research examines how the growing availability of big data is transforming innovation processes and strategic decision-making. Matteo holds a PhD from the Haas School of Business - UC Berkeley and masters from Univesity of Pisa.
Post-Doctoral Fellow
Tim Sels
Post-Doctoral Fellow
Tim Sels is a Postdoc at the Data Innovation Lab and holds a PhD in Economics/Business Management. He is a former Fellow of the Fox Program at Yale University, where he conducted empirical analyses to uncover the effects of political polarization on individual and team performance. Tim has also worked as a Portfolio Manager for real estate investments at BVV.
Full-Time Pre-Doctoral Fellows
Min Min Fong
Pre-Doctoral Fellow (Berkeley/NIH)
Min Min Fong is a predoctoral researcher at DIAL. She graduated from UC Berkeley with a degree in Applied Mathematics and Economics, with a minor in Education. Min Min is interested in behavioral economics, education, innovation, and the science of science. In her free time, she likes to draw, go on walks, and ride around on her moped.
Charlie Guthmann
Pre-Doctoral Fellow (Penn/NIH)
Charlie Guthmann is a pre-doctoral research assistant with a background in Mathematics and Economics from Northwestern University. He began his career in options trading before moving into software development at a social media startup. His interests include urban and economic policy, as well as artificial intelligence. In his free time, he enjoys biking, playing basketball, watching League of Legends, and spending time with friends.
Jacob Snyder
Pre-Doctoral Fellow (Boston/NBER)
Jacob Snyder is a pre-doctoral research assistant with a background in Applied and Computational Mathematics from Caltech. He previously worked in high-frequency options trading before moving into research. His interests focus on human behavior and systems from the individual to the policy level, with the aim of driving positive impacts on global economic outcomes. In his free time, Jacob enjoys playing games, soccer, exercising, and enjoying the great outdoors.
PhD Students
Srikanth Janjirala
PhD Candidate, UC Berkeley Haas
Srikanth Janjirala is a second-year Ph.D. candidate in Management of Organizations (Macro track) at the Haas School of Business, UC Berkeley. His research interests include innovation management, design innovation, and science of science. He holds an MBA from the Indian Institute of Management (IIM) Calcutta and a Bachelor's in Engineering design from the Indian Institute of Technology (IIT) Madras.
Kris Gulati
Economics PhD Student, UC Merced
Kris Gulati is a fifth-year Economics PhD Student at The University of California of Merced interested in the economics, politics, and science of science. He is an Emergent Ventures Fellow.
Gaveal Jiayue Fan
PhD Student, UC Berkeley Haas
Gaveal Jiayue Fan is a first-year PhD student in Management of Organizations (Macro) at the Haas School of Business, UC Berkeley. She is broadly interested in computational social science, with a focus on using network analysis and large-scale simulations to study innovation and society. She holds a Bachelor of Arts from Cornell with majors in the College Scholar Program, Information Science, and Sociology.
Daniel Schliesmann
Doctoral Candidate, Wharton
Daniel Schliesmann is a doctoral candidate in the management department at the Wharton School, University of Pennsylvania. His research focuses on organizational learning and adaptation with a particular emphasis on entrepreneurship and innovation.
Research Assistants
Kenny Wongchamcharoen
Research Assistant
Kenny is a sophomore majoring in Industrial Engineering & Operations Research (IEOR) and Data Science at UC Berkeley. His research interests span the intersection of Data Analytics and Operations Research, with a focus on applied AI & ML models, revenue management, fintech, and optimization algorithms. Beyond his academic pursuits, Kenny enjoys teaching, traveling, playing tennis, and singing with his acapella group on campus.
Arul Murugan
Research Associate
Arul Murugan is a Research Associate at the Data Innovation Lab. His interest lies in the intersection of Technology and People. He has worked in an early-stage AI startup for two years, after completing his Bachelor's in Chemical Engineering from BITS Pilani - Goa, India. He is planning to pursue graduate studies in Information Science.
Shreyas Krishnan
Research Assistant
Shreyas' interests lie at the intersection of human intelligence and AI. He completed his master's thesis at Harvard University in the Kreiman Lab, after earning a double major in Mathematics (MSc) and Electronics and Communication Engineering (BE) from BITS Pilani, Goa, India. He is now planning to pursue graduate studies in Computer Science. In his free time, he is an avid chess enthusiast and also plays the violin.
Joey Wong
Research Assistant
Joey Wong is an undergraduate at UC Berkeley pursuing simultaneous degrees in Computer Science, Data Science, and Economics. His primary research interest lies in developing and improving AI models for real-world problem solving and autonomous decision-making. In his free time, he enjoys traveling, gaming, playing basketball, going to the gym, and working on his startup.
Shruti Vora
Research Assistant
Shruti Vora is a junior at UC Berkeley pursuing a B.S. in Data Science and Statistics with an emphasis in Economics. Her academic interests center on the mathematical foundations of statistics and economic modeling, along with data analytics and the development and evaluation of AI/ML models for fintech and economic applications. In her free time, she enjoys cooking, traveling, painting, and playing pickleball.
Freya Mao
Research Assistant
Freya Yufei Mao is a master's student in the Social Sciences-Quantitative Methods and Social Analysis program at the University of Chicago. Her research interests include innovation, sustainability, and the digital economy.
Alumni & Past Placements
We're proud of our alumni and their successful placements at top institutions worldwide.
Current and Former Collaborators
- Stella Jia → Harvard Business School PhD
- Eunice Mercado → Open Research Community Accelerator (ORCA)
- Dr. Fernando Stipanicic → University of Oslo
- Dr. Weilong Wang → Columbia Business School
- Dr. Gauri Subramani → Lehigh University
Current/Past PhD Students
- Dr. Saqib Mumtaz → Georgia Tech Scheller College of Business
- Dr. Sukhun Kang → UC Santa Barbara
- Dr. Melissa Staha → USC Marshall School of Business
- Dr. Sahiba Chopra → UC Berkeley Haas School of Business
- Dr. Hyo Kang → Seoul National University
Predoctoral Alumni
- Cecil-Francis Brenninkmeijer (2025) → Duke Fuqua
- Eva Cheng (2024) → London Business School
- Randol Yao (2023) → MIT Sloan
Masters & Undergraduate Alumni
- Mahir Shah (2025), Berkeley Undergrad (URAP)
- Nancy Ma (2025), Berkeley Undergrad (URAP)
- Yingrong Mao (2025), UChicago Master's Student
- Sushanti Kerani (2024), Berkeley Master's Student
- Aoife Dwan (2024), Berkeley Undergrad (URAP)
- Jennifer Chen (2024), Berkeley Undergrad (URAP) → Stanford
- Jai Singh (2024), Berkeley Undergrad (URAP) → Stanford Predocs
- Jiamei (Jasmine) Xu (2024), Remote RA → WashU in St. Louis
- Sachin Srivastava (2023), Remote RA
- Kushal Kumar Reddy (2023), Remote RA → Cornell
- Keren Duque (2023), Berkeley Undergrad (URAP)
- Jiyoo Jeong (2023), Berkeley Undergrad (URAP)
- Adit Jain (2022), Remote RA, IIT Delhi → Cornell
- Bikash Kumar Panda (2022), Remote RA → LBS
- Nikhil Konatham (2022), Remote RA → UCLA
- Maximus Santosa (2022), Berkeley Undergrad (URAP)
- Kartikey Pandey (2021), Remote RA, BITS Pilani
- Sudeep Rao (2021), Berkeley Undergrad (URAP)
- Brian Qi (2020), Berkeley Undergrad (URAP)
- Aruna Sankaranarayanan (2019), Remote RA
- Siyi Wu (2019), Berkeley Undergrad (URAP)
- Yi Wei (2019), Berkeley Undergrad (URAP)
- Ophelia Wang (2019), Berkeley Undergrad (URAP)
What We Look For
If working with large data-sets in digital or geospatial settings excites you, or if you want to develop your research skills in preparation for applying to PhD programs in Economics, Business, or other related fields, our work might be a good fit for you, especially if you are interested in topics around technology, entrepreneurship or innovation management.
Since our work relies heavily on data processing and analysis, we have generally found it most productive to work with students who are extremely proficient with tools and techniques to create and analyze large datasets. These include but are not limited to python, *nix tools (e.g. working on a remote server, git etc.), R and/or Stata. Econometric training, including exposure to quasi-experimental research designs, is also preferred but not necessary.
If you are interested in helping us, please send us an email with the subject line "Work with us response". Please include either a short introduction or your CV, your proficiency with the tools mentioned above, and a description of the most complex data analysis/programming project you have undertaken so far. If we are too overwhelmed to take on another person or if we are not a good fit, we will let you know. If we think that we might have a productive working relationship, we will get back to you with additional questions or clarifications and likely some "trial" non-urgent tasks. If everything works out, we will schedule some time to video-chat or meet with you and discuss our ongoing work and projects and ask about your commitment. For this experience to be most useful for everyone involved, a commitment of usually 20 hours/week over at least 2 semesters or 10-12 months is necessary.
We particularly encourage you to reach out if you feel you have very little exposure to US research or lack other connections with existing PhD students or faculty, but have the skills or desire to help. This could be true if you belong to a racial minority group, or a developing country, but there are many ways to feel under-represented or disconnected in academic research.
We have found this method of working with undergraduate/master's level RAs to be mutually productive. Some have gone on to graduate programs at places like Harvard, MIT, and Berkeley, while others have presented research at conferences or gone to work in industry. We look forward to hearing from you!