We are based at the Department of Mathematics and Computer Science, within the School of Natural Science at Tougaloo College. Our team harnesses advanced machine learning and mathematical techniques to derive crucial biological insights from Nanopore long-sequencing data. We aim to transform complex sequence data into understandable biological narratives, uncovering the intricate dynamics of cellular processes and genetic structures.
Keywords: Machine/Deep Learning, computational biology, Bioinformatics, Genomics, High-throughput Sequencing Analysis, Nanopore.
Photo credits: © RNA Velocities derived from the dynamical genes in neurogenesis
Our group is currently offering multiple NSF HBCU UP RIA Research Fellowships, exclusively for STEM undergraduates at TC. (more info)
Congratulations to Dwight Ross for securing the 2nd place and to Dania Zein for achieving the 3rd place at the 21st Annual Kincheloe Research Symposium!
Oct. 01, 202321st Annual Kincheloe Research Symposium Presentations!
Our team members, Ross and Dania, will be presenting at the 21st Annual Kincheloe Research Symposium.
Poster Session:
*Machine Learning Models to test Anomaly Detection* by Dwight Ross on Friday, Oct. 13th at 10:00 am.
Oral Sessions:
*COVID-19 Detection from Chest X-rays with CNN-Based Approach* by Dwight Ross on Saturday, Oct. 14th at 9:30 am
*Predicting COVID-19 Cases Using Deep Neural Networks Based on Trends and Impact Survey Data* by Dania Zein on Saturday, Oct. 14th at 10:00 am
We encourage all group members to attend and support our speakers.