Dr. Pallavi Tiwari is an assistant professor of Biomedical Engineering and the director of Brain Image Computing laboratory at Case Western Reserve University since 2016. She is also an associate member of the Case Comprehensive Cancer Center. Dr. Tiwari finished her PhD from Rutgers University in 2012 and moved to Case Western Reserve as an assistant research professor. Her research interests lie in pattern recognition, data mining, and image analysis for automated computerized diagnostic, prognostic, and treatment evaluation solutions using radiologic imaging. She has been a recipient of Case-Coulter Translational awards from 2013 to 2015, and was twice nominated for NIH Director’s Early Independence Award. In 2015, She was named by Government of India as one of 100 women achievers for making a positive impact in the field of Science and Innovation. She is leading a team of researchers on multiple projects in prognosis and treatment evaluation in brain tumors and neurological disorders. Her research is funded through the state, foundation, and department of defense grants.
Dr. Marwa Ismail joined BrIC lab in September 2017 as a postdoctoral scholar. She received her Ph.D. in Biomedical Engineering from the University of Louisville in December 2016. Her Ph.D. research involved developing a computer-aided diagnostic system for autism diagnosis from multiple imaging modalities, such as structural and functional MRI. Prior to this, she received her master’s degree from the Department of Biomedical Engineering, Cairo University, where her research involved studying nerve fiber tracking methodologies using diffusion tensor magnetic resonance imaging. Marwa’s current research is developing image analysis techniques for characterizing brain tumors for prognosis and evaluating response to treatment.
Niha Beig is a graduate research assistant at the BrIC lab, Case Western Reserve University. Her research focus is on developing assistive diagnostic tools in neuro-oncology using data science and machine learning techniques. She has been working on drawing insights from ‘big data’ of quantitative medical images and genomic sequences to help distinguish various subtypes of cancers in adult and pediatric gliomas. Prior to joining Case, she was a research intern under Dr. Jayaram K Udupa in Medical Image Processing Group, Perelman School of Medicine, University of Pennsylvania. Her masters’ research involved automatic detection of lymph node zones in lung CT based on the guidelines from IASLC 2014. Niha is a voracious and when not in lab, she goes backpacking by leveraging Case’s proximity to Cuyahoga Valley National Park.
Ruchika is a graduate research assistant at BrIC lab. Her research focus is on developing machine learning and deep learning algorithms for processing MRI, and digitized tissue slides for precision oncology. She is currently working on finding correlations between histopathological phenotypes and radiomic features of Glioblastoma. Prior to joining Case, she was a research assistant under the supervision of Dr. Amit Sethi in the image processing and computer vision lab, at IIT Guwahati. There she developed a deep learning based generalized nuclear segmentation algorithm and also released a benchmark nuclear segmentation dataset encompassing multiple organs, patients and disease states. Her masters’ thesis was on analyzing molecular datasets pertaining to invasive ductal carcinoma to develop computational models for breast cancer heterogeneity detection. She is the recipient of the prestigious Common Wealth Scholarship. While not working, Ruchika likes to explore different places, cultures, and play chess.
Sukanya Iyer is a graduate research assistant at the BrIC lab and is working towards earning her Masters Degree in Biomedical Engineering. Her research currently focuses on identifying non-invasive markers on imaging and using machine learning techniques to predict the molecular sub-types of pediatric Medulloblastoma. Prior to pursuing her graduate studies, she earned her bachelors degree in Biomedical Engineering at Mumbai University and worked as a software engineer in cardiac imaging at Capgemini, India. During her time as a research intern at IIT, Bombay she worked on designing a surgical tool for heart valve replacement surgeries using 3D modelling techniques. Her research interests lie in machine learning, deep learning , medical imaging, image processing and bio-statistics.
Bolin Song, 2017 - 2019 - Currently a PhD student at Case Western Reserve University.
Kara Quaid, 2016-2018 - Currently a PhD student at Washington University in St. Louis.
Prateek Prasanna, 2014-2017 - Currently Research Associate, CCIPD, CWRU.
Jhimli Mitra, 2015-2016 - Currently Research Scientist, GE Global Research.
Jay Patel, 2013-2016 - Currently PhD student at MIT.
Andrew Rose, 2014-2016 - Undergraduate, class of 2016, CWRU.
Benjamin Jiang, 2015 - Medical student, School of Medicine, CWRU.
Gavin Hanson, 2015-2016, Medical student, School of Medicine, CWRU.
Gagandeep Singh, 2013 - 2017 - Radiology Resident, RWJ Medical School, NJ.
Lea Bouserhal, 2015-2016 - Masters of Dentistry, CWRU.
Sasan Partovi, 2014-2015 - Resident, Neuroradiology, CWRU.