Dr. Zahmeeth S. Sakkaff is a computational research scientist, machine learning expert, and educator with nearly two decades of experience advancing data-driven discovery and seven years of university teaching across AI, machine learning, big data, and computer science. She has led high-impact, interdisciplinary research at Argonne National Laboratory and the University of Chicago’s CASE, where she designed AI-powered experimental pipelines, built large-scale biological data models, and automated high-throughput computational workflows—bridging computing with the life sciences and intelligent systems.

Recognized with competitive grant success and multiple best paper and best poster awards, she brings a distinguished record of cross-domain collaboration and research excellence. As an Assistant Professor at WVU Tech, she unites rigorous computational methods with student-centered teaching, mentorship, open source innovation, and STEM outreach—preparing the next generation of scientists and engineers to work at the intersection of computing, biology, and intelligent systems, and to translate algorithms into real-world impact across disciplines.

COURSES TEACHING AT WVU-TECH and WVU

• CS480/CS481 – Senior Design and Implementation Capstone project
• CS201- Data Structures
• CPE453 – Data/Computer Communication
• CS493 – Machine Learning
• CS365 – Computer Language

COURSES TAUGHT AT ST. BONAVENTURE

• CS 131 & CSL 131. Object-Oriented Programming & Object-Oriented Programming Lab
• CS 243 & CSL 243. Database and Big Data & Database and Big Data Lab
• CS 258 & CSL 258. Machine Learning & Machine Learning Lab
• CS 346 & CSL 346. Operating Systems & Operating Systems Lab
• CS 401. Research Methods
• CS 402. Research Presentation