MPCR Lab Researchers

  • Kelsey Wilson

    Kelsey Wilson graduated from West Virginia University in 2012 with a B.S in Biological Science as well as a B.S in Psychology. Kelsey’s undergraduate research focused on the area’s of behavioral neuroscience and environmental microbiology. In 2014, Kelsey became a graduate student at Florida Atlantic University pursuing her Master’s Degree in Biological Science with research focused on Methionine Sulfoxide Reductase family of enzymes studying epimerization of Methionine Sulfoxide in a biological system. Kelsey is also a graduate teaching assistant for molecular genetics, microbiology, and biotechnology. In 2016, Kelsey joined the Machine Perception and Cognitive Robotics Laboratory to explore it’s wide variety of applications in the biomedical sciences.

  • Evan Clark

    Evan Clark is a graduate student researching the biochemical regulatory network of human T cells through the utilization of high-throughput RNA sequencing and downstream genomic analysis. He is currently focused on understanding changes in splicing patterns and gene expression modulated by selected RNA binding proteins in virally infected cells. He is currently aiming for a career in personalized medicine and translational biomedical research, with specialization in immunology and biomedical informatics. He has earned a Bachelors of Science in Biology from Florida Atlantic Universities’ College of Science, and will be graduating with a Masters of Science in Bioengineering from the College of Engineering in Fall 2016. He plans to obtain both and M.D. and Ph.D. to conduct translational clinical research in immunotherapy and biological big-data mining.

    The future of medicine is dependent on the comprehension and unity of medical records and functional genomic data. As we begin to evolve our understanding of the complex biological mechanisms that drive disease development and virulence, the current backbone of biomedical data is rapidly becoming obsolete. We have reached a turning point with the implementation of multi-omics testing in clinical data that will drive how patient treatment is decided. In order to utilize this data to its highest potential, new methods must be enacted to understand and mine the data for its functional relationships to disease and patient outcome. Using machine learning techniques and relational data mining strategies we can begin to decipher the relations between biological research data and clinical data to develop new treatment methods to improve patient outcomes and design new targeted therapeutics for prevention and treatment of disease.

  • Marcus McGuire


    Marcus McGuire is a dual enrollment student from FAU High School. He has spent the last two years studying computer science full time at FAU. His research interests include Machine Learning and Computer Vision. Following the completion of his bachelor’s degree, He intends to pursue a graduate degree in one, or both, of these topics.

  • Washington Garcia

    Computer engineering major.


  • Michael Keller

    I am a dually enrolled high school senior and undergraduate student here at FAU. I am a double major in math and computer science. I originally came to the MPCR lab to work with virtual reality, but found interest in working with the 3D Kinect Camera. See the teams page for information on that project. I hope to eventually get a masters in one or both of my major fields.

  • Rodrigo Castellon

    High school Researcher

    Rodrigo Castellon is a sophomore from Pine Crest School and part of their Science Research Program. He joined the MPCR Lab December 2016, and is planning to pursue a project over the summer that incorporates Q-learning into a real-world agent that plays Atari games. Apart from his interests in machine learning and computer vision, he is also part of the Math Club and Computer Science Club at Pine Crest.

  • Paul Morris


    Masters in Computer Science candidate

  • Lizzie[Luiza] Menezes


    Lizzie[Luiza] Menezes is a dual-enrolled student at FAU High School pursuing her bachelor’s degree in Computer Science.  Lizzie became a part of the Machine Perception and Cognitive Robotics Laboratory in 2017 to further indulge herself and get hands-on experience with the many different paths Computer Scientists can take.  Her prior experience includes working on her high school’s GT-EV, where she worked on the battery pack and wiring of the car.  Additionally, she was part of the high school’s Drone Team until its shutdown in late 2016 and is now the leader of the coding division for the high school’s RC Racing team.

  • Vy Tran

    Vy Tran is an undergraduate computer engineering major, and a dual-enrolled student. She joined the GT-EV club freshman year, which gave her the opportunity for a hands-on experience of the components and function of a car. Vy has worked on the battery management system, wiring, and website for GT-EV. She is also the Robocar Racing Team’s public relations leader. Her job is to reach out to corporations for grants and to manage the team’s budget. Vy joined the MPCR lab in the beginning of 2017 to further build upon her knowledge of engineering to prepare her for future endeavors.

  • Godson Fortil

    Undergraduate Researcher

    Godson Fortil is an undergraduate Computer Science student in the college of Computer Science, an undergraduate researcher, a member of the Machine Perception & Cognitive Robotics Lab as well as a member of  the Innovation Leadership Honors Program.  He never ceased to be astonished by new and disruptive technologies. In fact, Godson is currently conducting research on Parallel Programing, and also Blockchain with the Genesis Blockchain team of the MPCR Lab — two new, promising and disruptive technologies. Thanks to his Haitian heritage and education, Godson speaks multiple languages such as Creole, French, English and Spanish. He also shows great interest in a wide range of domains including Home design, photography, fashion, music, sports, agriculture, food and else. Soon, Godson wishes to apply his knowledge with the goal to optimize human productivity, fight poverty, diseases, and crimes with the use of technology.