The Wallace H. Coulter Department of Biomedical Engineering announces eight faculty who have received promotion and tenure. Erin Buckley and Chethan Pandarinath were promoted to associate professor with tenure, effective Sept. 1. Eva Dyer, Bilal Haider, Shu Jia, Cassie Mitchell, and Anabelle Singer were promoted to associate professor with tenure, effective July 1. Peng Qiu was promoted to professor with tenure, effective July 1.
Tenure and promotion are a significant step in a faculty member’s career as it recognizes their significant contribution to scholarship, research, and teaching, as well as their commitment to their institution’s mission.
Promotion to Associate Professor with Tenure
![Headshot photo of Erin Buckley](/bme/sites/default/files/2023-05/Buckley-Erin-206-Headshot-Oct-2019.jpg)
Erin Buckley, Associate Professor
Erin Buckley
Buckley’s research focuses on developing diffuse optical spectroscopy techniques for noninvasive, low-cost bedside monitoring of hemodynamics in brain and other tissues. She is particularly interested in how these tools can be used at the bedside to elucidate mechanisms of brain injury, provide diagnostic and prognostic biomarkers, and guide treatment strategies aimed at restoring brain perfusion.
![Headshot photo of Chethan Pandarinath](/bme/sites/default/files/2023-05/Pandarinath-Chethan-2019-v.jpg)
Chethan Pandarinath, Associate Professor
Chethan Pandarinath
Pandarinath’s research interests include neuroengineering, deep learning, brain-machine interfaces, dynamical systems, motor physiology, systems neuroscience, computational neuroscience, and neural coding. He is the founder of the Systems Neural Engineering Lab, which is focused on understanding how large populations of neurons in the brain perform computations and represent intention.
![Headshot photo of Eva Dyer](/bme/sites/default/files/2023-05/EvaDyer-Preferred%20Pic.jpg)
Eva Dyer, Associate Professor
Eva Dyer
Dyer’s lab explores three distinct research areas: machine learning, neuroscience, and neuroAI. Within those key areas, Dyer concentrates on computational neuroscience, representation learning, sequence modeling, image analysis, and low-dimensional signal models.
![Headshot photo of Bilal Haider](/bme/sites/default/files/2023-05/Bilal_Haider-180316AR116-DEV.jpg)
Bilal Haider, Associate Professor
Bilal Haider
Haider’s lab discovers how neural circuits generate visual perception and visual attention. His team uses a combination of electrophysiological, optical, and computational techniques to observe transgenic mice performing visual behaviors.
Shu Jia, Associate Professor
Shu Jia
Jia’s research centers on systems biophotonics, including single-molecule biophotonics, super-resolution microscopy, advanced optical and computational microscopy, imaging physics, biomedical imaging instrumentation and devices, and imaging microrobotics. Jia is the founder of the Laboratory for Systems Biophotonics.
![Headshot photo of Cassie Mitchell](/bme/sites/default/files/2023-05/Mitchell-Cassie-v.jpg)
Cassie Mitchell, Associate Professor
Cassie Mitchell
Mitchell is an expert in predictive medicine, health informatics, personalized medicine, big data, modeling, machine learning, text mining, cancer, neuropathology, and neuroengineering. She founded the Laboratory for Pathology Dynamics, which examines motion, equilibrium, or homeostasis of physiological systems in the human body under the action of pathological forces.
![Headshot photo of Annabelle Singer](/bme/sites/default/files/2023-05/Singer-Annabelle-2018-Lab-180410AR179-by-Gary-Meek-h.jpg)
Annabelle Singer, Associate Professor
Annabelle Singer
Singer’s research explores neural coding and decoding, computational neuroscience, learning and memory, neural stimulation, optogenetics, neuroengineering, virtual reality, animal models of disease, and Alzheimer's disease. Her lab discovers innovative expermimental and analytical methods to gain insight into how neural activity failures lead to memory impairment and unveil novel ways to engineer neural activity to repair brain function.
Promotion to Professor with Tenure
Peng Qiu
Peng Qiu
Qiu’s research focused on bioinformatics and computational biology, machine learning, data integration, progression analysis, single-cell analysis, and flow cytometry. His lab’s goal is to develop novel computational methods for advancing biological discoveries.
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