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Hongxia Fu
Associate Professor, Biomedical Engineering
Hongxia Fu is an associate professor in the Department of Biomedical Engineering at the University of Miami. Her research focuses on developing and applying quantitative and multidisciplinary methods, including single-molecule biophysics, biochemistry, microfluidics and organoid stem cell biology, to understand how biological systems respond to environmental changes and regulate physiological functions. Her work examines mechanobiology, including hemostasis, thrombosis, hemophilia and von Willebrand disease, as well as cell adhesion and protein-protein interactions that regulate cell signaling pathways and cell-cell interactions.
Before joining the University of Miami, Fu was an associate professor and assistant professor at the University of Washington. She previously served as an instructor at Harvard Medical School and held research appointments at Boston Children's Hospital and the National University of Singapore. Fu earned a Master of Engineering from Dalian University of Technology in China and a doctorate from the National University of Singapore.
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Matthew Ishahak
Assistant Professor, Chemical, Environmental and Materials Engineering
Matthew Ishahak is an assistant professor in the Department of Chemical, Environmental and Materials Engineering at the University of Miami College of Engineering. He earned a bachelor's degree, master's degree and doctorate in biomedical engineering from the University of Miami.
Ishahak's research focuses on applying synthetic biology and bioengineering to advance understanding of human development and disease progression. His work combines stem cell biology, tissue engineering and multi-omic bioinformatics to study organoid-based model systems. His laboratory develops brain, kidney and pancreatic organoids to investigate diseases including cancer and diabetes. A central component of his research is the use of multi-omics to construct gene regulatory networks and perform in silico genetic perturbation experiments, helping identify drivers of cell fate and disease.
His research has been published in leading journals, including Nature Communications, Nature Cell Biology, Advanced Science, Cell Reports and Science Advances. Ishahak is also committed to mentoring students at all levels, with a particular focus on supporting underrepresented minorities in STEM fields.
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Zhenglun Kong
Assistant Professor, Electrical and Computer Engineering
Zhenglun Kong is a tenure-track assistant professor of electrical and computer engineering at the University of Miami. Previously, he was a research fellow at Harvard University, where he worked on foundation models and AI agents for scientific discovery. He earned a doctorate and a master's degree from Northeastern University and a bachelor's degree from Huazhong University of Science and Technology. He also interned at Microsoft Research, Arm and Samsung Research and was named a Machine Learning and Systems Rising Star in 2024.
Kong's research advances efficient and autonomous AI systems. His work focuses on scalable and resource-efficient AI, including post-training and inference optimization, model compression, adaptive computing and memory-efficient architectures. He also develops foundation models and autonomous AI agents designed to accelerate scientific discovery and address real-world challenges.
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Seung Ho (Steve) Woo
Assistant Professor, Industrial and Systems Engineering
Seung Ho (Steve) Woo is an assistant professor in the University of Miami Department of Industrial and Systems Engineering. He earned a Ph.D. in industrial engineering from Purdue University in 2026 and a B.S.E. and M.S.E. in industrial and operations engineering with higher honors from the University of Michigan, Ann Arbor.
His research focuses on the intersection of AI-driven predictive modeling and next-generation simulation paradigms, particularly exploring their economic and societal implications. His work leverages advanced methodologies on AI and decision-making algorithms for risk analysis of complex systems, integrating predictive modeling, deep learning, reinforcement learning, and agent-based simulation. His work aims to construct robust predictive models for critical challenges in crisis management, infrastructure resilience, advanced manufacturing, healthcare, and supply chain operations.
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Guy Zyskind
Assistant Professor, Electrical and Computer Engineering
Guy Zyskind is an assistant professor in the Department of Electrical and Computer Engineering at the University of Miami. His research focuses on security and privacy, secure computation, blockchain, machine learning and private and trustworthy artificial intelligence. Before joining the University of Miami, he was a researcher at the Massachusetts Institute of Technology Media Lab, where his work focused on secure computation in decentralized systems and blockchain technology.
He is the founder of Fhenix and was the founder and CEO of SCRT Labs, the founding core development team behind Secret Network, a privacy-preserving smart contract blockchain. Zyskind earned a doctorate in applied cryptography and security from the Massachusetts Institute of Technology, where his dissertation focused on secure computation in decentralized systems. He also earned a Master of Science from the Massachusetts Institute of Technology Media Lab and a Bachelor of Science in electrical engineering and computer science from Tel Aviv University.
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