Jose Alcala received his B.S. in Mechanical Engineering from U.C. Merced. Next, he worked with Autonomous Vehicles in Pittsburg, San Francisco and Phoenix. Currently, he is a PhD candidate in Mechanical Engineering and his advisor is Dr. YangQuan Chen....
Shayna Bennett is a PhD student in applied mathematics at UC Merced working with Dr. Shilpa Khatri. She holds Bachelor of Sciences degrees in Environmental Science and Mathematics from Northern Vermont University. Her interest is modeling spatial...
Jordan Collignon graduated from CSU Monterey Bay with a Bachelor's of Science in Mathematics with a pure mathematics concentration. He is in the Applied Mathematics Ph.D. program at UC Merced with Shilpa Khatri as his advisor. HIs current research...
Ben Falandays is a PhD student in the Cognitive and Information Sciences program at UC Merced, working primarily in the Spivey lab. His research uses mainly behavioral methods, especially on-line, continuous measures such as eye tracking and computer...
Ketika Garg has had an inter-disciplinary background in science with a master’s in biology (bioinformatics) from India. She joined the Cognitive Science department here at UC Merced in the Fall of 2017. Her research interests range from anthropology,...
Lesly Lopez is a PhD student in Quantitative and Systems Biology. She graduated with a Mathematics/Applied Science B.S. in the University of California, Los Angeles. She currently works with Dr. Emilia Huerta-Sanchez, studying human population genetics....
Tyrome Steven Sweet Jr. is a student from Donalsonville, GA. He received his Bachelor of Science degree in Computer Engineering from Benedict College in 2012. Between 2012 and 2017, he worked in the industry as a Software and Systems Engineer for several...
NRT Intelligent Adaptive Systems
University of California, Merced
5200 N Lake Road
Merced, CA 95343
Contact: Dr. Ramesh Balasubramaniam
ramesh at ucmerced dot edu
or twitter: ramesh@ucmerce
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This material is based upon work supported by the National Science Foundation under Grant No. DGE-1633722. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
