Samuel Lim Samuel Lim - Biography

University of Pennsylvania
samuelim at seas dot upenn dot edu

[ bio | research | awards | vita]

About Me

I am a PhD candidate at the University of Pennsylvania in the area of Systems Science and Statistics. My thesis advisor in the School of Engineering and Applied Science is Professor Barry Silverman. My research interests lie primarily at the intersection of decision theory, simulation, optimization, and learning algorithms, with specific interests in the application of negotiation theory and personality profiling techniques to conflict scenarios. At the Wharton School, I am advised by Professor Dylan Small. In this regard, my research focus relates to parameter elucidation from large data sets for adaptive agent algorithms. I have also worked on developing data driven adoption models characterizing energy efficiency adoption trends with the Wharton Risk and Decision Processes Center.

Education and Experience

I graduated summa cum laude with four degrees from the University of Pennsylvania, including a B.S. in Economics from the Wharton School, a B.S. in Electrical and Systems Engineering, an M.S. in Systems Engineering, as well as a Masters in Statistics concentrating in Financial Mathematics at Wharton, where I was a Meister Fellow and received the Real Estate Research Institute Student Fellowship. I also hold a Master's in Public Administration from the Fels Institute of Government as one of three individuals accepted directly into the program from undergraduate studies.

Previously, I worked in a diverse array of fields, as a business analyst with Deloitte Strategy & Operations, Singapore, a venture capital analyst at Guggenheim Venture Partners, and a Research Assistant to the Senior Economist at the World Economic Forum.

Current Engagements

I am a doctoral researcher at the Ackoff Collaboratory for Advancement of the Systems Approach, where I work on developing high dimensional agent-based models for simulating networks and social systems. I also pursue my interests in the application of analytical techniques and statistical inference to solve complex business problems as an associate at Systems Wisdom.