We are recruiting!
We are recruiting!
Our lab is part of the Department of Electrical and Computer Engineering at the University of Texas at San Antonio (UTSA). Our research focus lies in the development of statistical, machine learning, and deep learning methodologies aimed at deciphering the complexities inherent in biological data. We also have close collaboration with domain experts, such as medical scientists and marine biologists from both the University of Texas Heath San Antonio (UTHSA) and the University of Southern California (USC).
Located in San Antonio, Texas, UTSA is a public research university distinguished by its "R1: Doctoral Universities – Very High Research Activity" status among a total of 146 Tier-1 universities in the U.S. It’s celebrated as a "Texas Tier One" institution and recognized for its safety, ranking second in Texas. Despite its youth, UTSA was acclaimed by Times Higher Education among the best universities under 50 years old.
The Electrical and Computer Engineering (ECE) Department ranks 99th by U.S. News. With close ties to the prestigious UT Health San Antonio medical center, UTSA offers rich opportunities for cutting-edge biomedical research. The university's commitment to interdisciplinary research is further underscored by the establishment of the School of Data Science and AI, providing a robust platform for innovative collaboration.
We currently have one opening for highly motivated Ph.D. students in Electrical Engineering (Bioinformatics concentration), starting at Spring/Fall 2026 semester. Incoming Ph.D. students will be fully funded as graduate research assistants.
In light of our interdisciplinary research endeavors in Computational Biology and Bioinformatics, we encourage students from diverse academic backgrounds, including EE/CS/Stats/Biostats/Bioinfor, to apply for this position. A solid foundation in statistics and/or programming is essential. While experience with genomic data or some background knowledge in biology is highly valued, it is not a mandatory requirement. Incoming Ph.D. students will work on designing innovative computational models aimed at analyzing genomic data. We can also offer the chance to collaborate with medical scientists from UTHSA, opening doors to cutting-edge research on cancer diseases.
If you are interested in working with me, please send an email to dyxcbb@gmail.com with title [Prospective Ph.D. Student - Fall 2025] including
Your CV/Resume
Your transcript (undergrad and master's if available)
Writing sample (e.g., publication, thesis, research report) if available
We offer flexible application deadlines to accommodate both Fall and Spring program start dates. Specifically, the application deadlines for the Fall and Spring terms are June 1 and October 1, respectively. Please refer to here for general application information from the ECE department of UTSA.
We always welcome students with a passion for research to reach out. A commitment to dedicating consistent time to research is essential. Possessing strong programming skills is considered a strong advantage. If you are interested, please email me at dyxcbb@gmail.com with the subject line [Prospective Undergrad/Master Internship Student] including:
Your CV/Resume
Your transcript (undergrad and master's if available)
If you are looking for a thesis/dissertation advisor, feel free to email me.