Negin Fraidouni

Negin Fraidouni is Senior Lecturer in Computer Science and Engineering at UT Arlington. Her research spans biocomputing, machine learning, and data mining applications in health contexts. She obtained her Ph.D. from UTA in 2019 with dissertation on computational genomics approaches. Currently leads $48K industry-funded project developing loss models for Vistra (2023-2025).

Education includes:

• Ph.D. Computer Science, UT Arlington (2019)
• M.S. Animal Physiology, Kharazmi University (2012)
• B.S. Biology, Tabriz University (2008)

Research integrates computational methods with biomedical challenges, particularly disease gene identification and biological data recovery techniques. Recent work focuses on matrix factorization approaches for genomic associations and deep learning for health informatics.

Publications reflect dual expertise in computational biology and neuropharmacology, with significant contributions to Parkinson's disease modeling through potassium channel research and machine learning applications in genomics.

Service includes organizing programming contests, serving on hiring committees, and advising student societies. Teaches core courses in algorithm design, data modeling, and programming.