NRT - Program trainees
Current graduate students Cohort 2
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, evolutionary biology to human cognition in general. Currently, she is planning to study human foraging patterns and their cognitive basis.
Primary Advisor: Chris Kello.
Email address: firstname.lastname@example.org
Shayna Bennett is a Ph.D. 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 movement of organisms to better understand the influence of physical and mental barriers. Her current research explores how diffusion equations can be used to describe the role of landscape features on the spreading rate of invasive species. Email address: email@example.com
Jordan Collignon graduated from CSU Monterey Bay with a Bachelor's of Science in Mathematics with a pure mathematics concentration. This year, he is a new student in the Applied Mathematics Ph.D. program at UC Merced with Shilpa Khatri as his advisor. HIs current research interest is in mathematical biology, specifically how mathematical modeling can contribute to preventing the extinction of endangered species. Other than doing math, he is an avid photographer of landscapes, birds, and some unusual things that he encounters on a daily walk. He also took a class in disc golf last semester and can take advantage of the course at Fahren's park every now and then. He participated in two REUs over his undergraduate career, which helped solidify his research interest. More information about his journey through two summers of undergraduate research can be found at https://jcollig.wordpress.com.
Email Address: firstname.lastname@example.org
Lesly Lopez is a first year 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. She is particularly interested in looking for signs of introgression in humans with Neanderthals and Denisovans.
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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 Ph.D candidate in Mechanical Engineering and his advisor is Dr. YangQuan Chen. His interested are in Mechatronics, Control Systems with a focus in Unmanned Aerial Systems.
Email address: firstname.lastname@example.org
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 mouse tracking, to investigate the structure of mental representations that subserve behavior. Ben is particularly interested in the ways that aspects of the extended environment — the tools we use, spaces we exist in, and cultures we inhabit — influence symbolic processing. Ben completed his BA in Psychology and Philosophy from the University of Delaware in 2013 and his MS in Experimental Psychology from Villanova University in 2017.
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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 companies that includes Blue Cross Blue Shield, Total System Services, Raytheon, Samsung and IHS Markit.
Major: Quantitative and Systems Biology (QSB) PhD Program
Research Interests: Microbial Ecology, Systems Virology, Viral Metagenomics, Bioinformatics, Machine Learning
Advisor: Dr. Suzanne Sindi & Dr. Mark Sistrom
Currently working on a using a deep sequencing approach, along with machine learning techniques to evaluate RNA viruses.
More about Tyrome: https://www.linkedin.com/in/tyromesweet/
Email Address: firstname.lastname@example.org