Faculty Interested in Being One-U RAI Postdoc Mentors
This is an initial list of University of Utah faculty who have expressed interest in mentoring One-U RAI Postdoctoral Fellows that will be updated regularly. University of Utah faculty interested in mentoring can complete this form to be included in this list. This list is not all inclusive and is provided for information only, any faculty member at the University of Utah is eligible to serve as a faculty mentor for a One-U RAI Postdoctoral Fellow.
| Orly Alter | USTAR Associate Professor of Bioengineering and Human Genetics | Scientific Computing and Imaging (SCI) Institute; Huntsman Cancer Institute | Genomic Signal Processing, Tensor Decompositions, Quantum Measurement |
| Amirhossein Arzani | Associate Professor | Scientific Computing and Imaging (SCI) Institute; Mechanical Engineering | Scientific machine learning; XAI for science; Interpretable machine learning; Computational mechanics; Data-driven modeling; |
| Amanda Bakian | Associate Professor | Psychiatry; Huntsman Mental Health Institute | Environmental, familial, geographical contributors to psychiatric conditions including autism, developmental disabilities, suicide; exposome, gene x environment |
| Simon Brewer | Associate Professor | School of Environment, Society and Sustainability | Spatial/spatio-temporal analysis, machine learning, deep learning, air quality, climate, socio-ecological systems |
| Daniel Brown | Assistant Professor | Kahlert School of Computing | AI safety, human-AI alignment, human-robot interaction, reinforcement learning, imitation learning, robot learning |
| Brian Codding | Professor | Anthropology | Human ecology; socio-environmental systems; climate change; quantitative data analysis |
| Anne Cook | Director and Professor | Martha Bradley Evans Center for Teaching Excellence; Educational Psychology | Building AI literacy in faculty and students; faculty development opportunities in and with AI |
| Nina de Lacy | Assistant Professor | Huntsman Mental Health Institute; Kahlert School of Computing | AI; deep and timeseries learning; constrained optimization; risk stratification; disease predictors; disease process modeling; mental illness; substance misuse; suicidality |
| Shireen Elhabian | Associate Professor | Kahlert School of Computing | Image Analysis, Artificial Intelligence, Statistical Shape Modeling and Analysis, Probablistic Models, Uncertainy Quantificaiton, Machine/Deep Learning |
| Isabelle Freiling | Assistant Professor | Communication | Science communication, political communication, social media/current information environments, misinformation, public engagement with science, open science |
| Alexander Hohl | Assistant Professor | School of Environment, Society & Sustainability | Spatial data science, health geography, disease surveillance, racism, social media, spatial simulation, spatiotemporal modelling |
| Heather Holmes | Associate Professor | Chemical Engineering | Air quality, environmental health, wildfire smoke, satellite remote sensing, atmoshperic modeling, extreme heat |
| John Lin | Professor | Atmospheric Sciences/Wilkes Center for Climate Science & Policy | Air quality, greenhouse gases, atmospheric modeling, pollutant emissions, satellite remote sensing |
| Xiaodong Ma | Assistant Professor | Department of Radiology and Imaging Sciences | Deep Learning, Image Processing, Magnetic Resonance Imaging, Neurovascular Imaging, Cognitive impairment and dementia |
| Rob MacLeod | Professor | Biomedical Engineering | Education, teaching and learning, biomedical computing, cardiology |
| Manish Parashar | SCI Director & Presidential Professor | Scientific Computing and Imaging (SCI) Institute; Kahlert School of Computing | Parallel and distributed computing (including edge computing); scientific computing and computational science; ai-enabled science workflows; large scale data management and analytics |
| Sameer Patil | Associate Professor | Kahlert School of Computing | Societal and human-centered implications of modern technology with a focus on privacy and security |
| Jeff Phillips | Professor | Kahlert School of Computing; Utah Center for Data Science | Data science, scalable algorithms, data management, machine learning, explainability and fairness |
| Mary Jo Pugh | Professor | Department of Internal Medicine | Neurotrauma, long-term outcomes, complex comorbidity, ecological momentary assessment, traumatic brain injury, epilepsy, functional status |
| Tyler Richards | Assistant Professor & AI Director | Radiology (Neuroradiology) | Deep learning algorithm development; medical imaging; optimize clinical efficiency; diagnostic accuracy; big imaging data sharing |
| Paul Rosen | Associate Professor | Scientific Computing and Imaging (SCI) Institute; Kahlert School of Computing | Data Visualization; Explainability; Human-Centered Data Analysis; AI in Education |
| Elliot Smith | Assistant Professor | Neurosurgery | Human neuron recordings, reinforcement learning, neuro AI, computational neuroscience, neural coding in the human brain, seizure prediction |
| Victoria Tiase | Assistant Professor | Biomedical Informatics | Analyses of electronic health record audit log data to inform data representations for clinical activities |
| Sara Yeo | Associate Professor | Communication | AI in science communication, strategic communication, open science, humor, persuasion, public attitudes |
| Moriel Zelikowsky | Assistant Professor | Neurobiology | Social Isolation, Neuropeptides, Computational analysis of behavior |