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Eight BME Faculty Receive Promotion and Tenure
Posted May 17, 2023

 

 

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

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.

 

Buckley Lab

 

 

Headshot photo of Chethan Pandarinath

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.

 

Systems Neural Engineering Lab

 

 

Headshot photo of Eva Dyer

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.

 

Neural Data Science (NerDS) Lab

 

 

Headshot photo of Bilal Haider

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.

 

Haider Lab

 

 

Headshot photo of Shu Jia

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.

 

Laboratory for Systems Biophotnics

 

 

Headshot photo of Cassie Mitchell

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.

 

Laboratory for Pathology Dynamics

 

 

Headshot photo of Annabelle Singer

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.

 

Singer Lab

 

 

Promotion to Professor with Tenure

 

Headshot photo of Peng Qiu

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.

 

Qiu Lab

 

Contact

Kelly Petty  
Communications
Wallace H. Coulter Department of Biomedical Engineering

 

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