About Me
I grew up on a small farm just south of Madison, Wisconsin. In school I fell in love with mathematics and science and knew that I wanted to pursue a degree in Engineering. In 2017, I graduated from Milwaukee School of Engineering with a B.S. in Biomedical Engineering and a minor in Mathematics. For my senior capstone project, I was the project manager of a team that build a prosthetic foot and ankle assembly for trans-tibial amputees.
I am currently pursing a Ph.D. in Physiology from the University of Wisonsin-Madison. My current work involves using neuroimaging techniques and single cell neural recordings to investigate the primate visual system. I am interested in understanding how the visual system works, as well as how other sensory information (i.e. proprioception and vestibular) gets integrated to create the immersive reality that we experience every day. I am also interested in applying machine learning techniques in order to develop a better understanding of how our visual system encodes the information in our environment. Particularly, I am excited about the application of neural networks in uncovering the various types of information that our visual system uses to encode our environment. To view my LinkedIn profile, click the link below. https://www.linkedin.com/in/raymonddoudlah/ To view my GitHub profile, click the link below. https://github.com/RaymondDoudlah |
EDUCATION
Bachelors of Science - Biomedical Engineering (2017) Milwaukee School of Engineering Doctor of Philosophy - Physiology (Expected graduation, 2022) University of Wisconsin-Madison FELLOWSHIPS
LUCID Training Program University of Wisconsin-Madison PUBLICATIONS
Byounghoon Kim, Shobha Channabasappa Kenchappa, Adhira Sunkara, Ting-Yu Chang, Lowell Thompson, Raymond Doudlah, and Ari Rosenberg (2018). Real-Time Experimental Control using Network-Based Parallel Processing. bioRxiv 392654; doi: https://doi.org/10.1101/392654. PRESENTATIONS UW-Madison Neuroscience Research Symposium (Aug, 2018) Promega Corporation - Fitchburg, Wisconsin UW-Madison Primate Center Poster Session (Jan, 2018) Madison, Wisconsin UW-Madison Neuroscience Poster Fair (Dec, 2017) Madison, Wisconsin Society for Neuroscience Poster Presentation (Nov, 2017) Washington, DC UW-Madison Neurological Surgery Research Day (Oct, 2017) Madison, Wisconsin AWARDS / RECOGNITION
Vincent R. Canino Outstanding Biomedical Engineering Senior Student Award (2017) Milwaukee School of Engineering Thomas W. Davis Student Leadership Award (2017) Milwaukee School of Engineering |
LUCID Training Program
LUCID is a project-focused cross-disciplinary graduate training program at the University of Wisconsin–Madison that focuses on Learning, Understanding, Cognition, Intelligence, and Data-science.
Its goal is to provide graduate students from Engineering, Computer Science, Psychology and Educational Psychology with hands-on cross-disciplinary training and experience working on problems at the intersection of machine learning, human cognition, and education, and to prepare trainees for both academic and non-academic career paths.
The LUCID training program enhances traditional graduate training through several additional mechanisms that are designed to promote cross-disciplinary learning and professional development without increasing time to degree. These include: project-focused prof-and-peer mentoring, individualized curriculum development, on- and off-site internships, and outreach.
To learn more about the LUCID Training Program, click here.
Its goal is to provide graduate students from Engineering, Computer Science, Psychology and Educational Psychology with hands-on cross-disciplinary training and experience working on problems at the intersection of machine learning, human cognition, and education, and to prepare trainees for both academic and non-academic career paths.
The LUCID training program enhances traditional graduate training through several additional mechanisms that are designed to promote cross-disciplinary learning and professional development without increasing time to degree. These include: project-focused prof-and-peer mentoring, individualized curriculum development, on- and off-site internships, and outreach.
To learn more about the LUCID Training Program, click here.
Meet the Lab
The lab is run by Dr. Ari Rosenberg. The major interests of the lab include, neural computations underlying three-dimensional vision, multi-sensory integration, and the neural basis of autism.
To read more about the interests of the lab and it's members, please visit the lab website by clicking here.
To read more about the interests of the lab and it's members, please visit the lab website by clicking here.