Independent Labs, Institutes, and Centers (Dean of Research)
Showing 1-19 of 19 Results
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Stephanie Balters
Instructor, Psychiatry and Behavioral Sciences - Interdisciplinary Brain Sciences
BioDr. Stephanie Balters is an instructor in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine. She is the director of the Empowerment Neuroscience Laboratory and studies how social factors such as interpersonal trauma and cultural biases impact brain function and mental health outcomes. Dr. Balters develops evidence-based interventions to improve well-being, work productivity, and team performance. She is passionate about embracing authenticity, vulnerability, and individual differences, and leveraging adverse experiences towards self-growth and achieving one’s full potential. Dr. Balters holds a Bachelor's and Master's degree in Mechanical Engineering and has earned a Ph.D. in Engineering Design. Her diverse career journey includes experiences at the Center for Design Research and Computer Science at Stanford University before transitioning to the School of Medicine. Dr. Balters is a Human Factors Specialist at NATO and facilitates Empowerment Workshops at Stanford University.
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Antoine Falisse
Research Engineer
BioDr. Falisse is a postdoctoral fellow in Bioengineering working on computational approaches to study human movement disorders. He primarily uses optimization methods, biomechanical modeling, and data from various sources (wearables, videos, medical images) to get insights into movement abnormalities and design innovative treatments and rehabilitation protocols.
Dr. Falisse received his PhD from KU Leuven (Belgium) where he worked on modeling and simulating the locomotion of children with cerebral palsy. His research was supported by the Research Foundation Flanders (FWO) through a personal fellowship. Dr. Falisse received several awards for his PhD work, including the David Winter Young Investigator Award, the Andrzej J. Komor Young Investigator Award, the VPHi Thesis Award in In Silico Medicine, and the KU Leuven Research Council Award in Biomedical Sciences. -
Dapeng Feng
Postdoctoral Scholar, Earth System Science
BioDapeng Feng is a postdoctoral fellow in the Department of Earth System Science and Stanford Institute for Human-Centered Artificial Intelligence. During his PhD he developed the differentiable hydrologic modeling framework to unify machine learning and physical models for large-scale water cycle simulations and streamflow forecasting. His current research interests focus on systematically integrating AI, physical models, and big earth observations for large-scale geoscientific modeling and knowledge discovery, particularly in characterizing the terrestrial water cycle and its interactions with plant and climate systems.
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Nicos Haralabidis
Postdoctoral Scholar, Bioengineering
BioMy research interests lie within both sports and clinical biomechanics applications. I rely upon merging conventional biomechanical in vivo measurements together with state-of-the-art musculoskeletal modeling and optimal control simulation approaches. The integrative approach I take enables me to understand how an individual may run faster, jump further, walk following surgery or intervention, and simultaneously estimate internal body dynamics noninvasively. As a Postdoctoral Research Scholar within the Wu Tsai Human Performance Alliance I aim to explore how stochastic optimal control and reinforcement learning methods can be applied to further our understanding of sporting performance.
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Jennifer Maier
Postdoctoral Scholar, Mechanical Engineering
BioMy research interests include a broad variety of topics, ranging from medical image analysis and signal processing, machine learning and artificial intelligence, which I mainly focused on during my Ph.D. research. As a member of the Digital Athlete project of the Wu Tsai Performance Allience, I am now pursuing research to investigate how we can use wearable sensors, machine learning and biomechanical simulations to improve athlete performance, prevent injuries and support rehabilitation after injury.
I completed my Bachelor of Science and Master of Science degrees in medical engineering from Friedrich-Alexander-University Erlangen-Nuernberg (FAU). In 2015, I worked on my master’s thesis under the supervision of Prof. Kamiar Aminian during a research stay in the Laboratory of Movement Analysis and Measurement (LMAM), École Polytechnique Fédérale de Lausanne (EPFL), supported by a DAAD Scholarship. Afterwards, I pursued my Ph.D. at FAU in the Pattern Recognition Laboratory under the supervision of Prof. Andreas Maier and in the Machine Learning and Data Analytics Lab under the supervision of Prof. Bjoern Eskofier. I worked on projects in collaboration with Stanford University and the Universidade do Vale do Rio dos Sinos (UNISINOS) and conducted several short-term research stays at the partner universities. After finishing my Ph.D. in 2021, I joined Stanford University as a postdoctoral scholar advised by Prof. Ellen Kuhl. -
Luwen Wan
Postdoctoral Scholar, Earth System Science
BioLuwen is a Postdoctoral Fellow with the Stanford Institute for Human-Centered Artificial Intelligence, working with Dr. Kate Maher, Professor at Stanford University in the Department of Earth System Science. Her postdoctoral research focuses on developing tools for tracking the recovery and activity of the North American beaver from a computer version and evaluating beaver as a tool for fostering sustainable waterways. She received her Ph.D. in Earth and Environmental Science from Michigan State University, where she worked on nutrient transport modeling across the Great Lakes Basin and agricultural tile drainage mapping across the US Midwest region.
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Zhecheng Wang
Postdoctoral Scholar, Civil and Environmental Engineering
BioI am a HAI (Human-Centered AI) Postdoctoral Fellow at Stanford University. Here is my website: https://wangzhecheng.github.io
