Sayed-Rzgar Hosseini
Assistant ProfessorMathematical Sciences
Dr. Sayed-Rzgar Hosseini joins UTEP from his role as a tenure-track assistant professor in the Department of Mathematical Sciences at Indiana State University. His research focuses on computational biology, bioinformatics, and statistical learning, with particular emphasis on cancer systems biology, precision medicine, and interpretable machine learning frameworks. His work integrates deep learning, statistical modeling, and genomic data analysis to develop innovative methods for understanding cancer progression and drug response. Prior to his current role, Hosseini served as a research-track assistant professor at The University of Texas Health Science Center at Houston and held postdoctoral appointments at the European Bioinformatics Institute and Cancer Research UK. He has authored numerous peer-reviewed publications in computational biology and bioinformatics and has contributed to interdisciplinary research collaborations in academia and industry. Hosseini earned his Ph.D. in computational biology from the University of Zürich and completed advanced training in statistics and computer science at ETH Zürich.
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| Term | Course | Section | Syllabus |
|---|---|---|---|
| Fall 2026 | MATH 1320 - Math for Social Sciences I | 10542 | Syllabus |
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Dr. Sayed-Rzgar Hosseini joins UTEP from his role as a tenure-track assistant professor in the Department of Mathematical Sciences at Indiana State University. His research focuses on computational biology, bioinformatics, and statistical learning, with particular emphasis on cancer systems biology, precision medicine, and interpretable machine learning frameworks. His work integrates deep learning, statistical modeling, and genomic data analysis to develop innovative methods for understanding cancer progression and drug response. Prior to his current role, Hosseini served as a research-track assistant professor at The University of Texas Health Science Center at Houston and held postdoctoral appointments at the European Bioinformatics Institute and Cancer Research UK. He has authored numerous peer-reviewed publications in computational biology and bioinformatics and has contributed to interdisciplinary research collaborations in academia and industry. Hosseini earned his Ph.D. in computational biology from the University of Zürich and completed advanced training in statistics and computer science at ETH Zürich.
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