Brain Image Computing (BrIC) Laboratory
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.
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.
Hyemin Um joined the BrIC lab as a graduate research assistant in August 2020. Her research focuses on developing radiomics-based as well as deep learning-based tools for improving diagnosis of confounding lesions and aiding with individualized treatment planning in patients with malignant brain tumors. She is currently researching techniques that leverage both multi-parametric and temporal imaging data to incorporate dynamic information into her machine learning models. Prior to joining the BrIC family at Case, she was a research assistant in Dr. Harini Veeraraghavan's lab at Memorial Sloan Kettering Cancer Center, New York. For her master's thesis, she developed and validated radiomic classifiers for glioblastoma in multi-centric datasets with the use of commonly known image preprocessing techniques. Outside of the lab, Hyemin enjoys drawing and being active through bike riding or yoga.
Ipsa Yadav is a graduate research assistant at the BrIC lab and is seeking her Masters Degree in Biomedical Engineering. She has been with the lab for some time now and is associated with different projects in the lab. Her research currently focuses on temporal deformation analysis and predicting subsequent location of recurrence in Glioblastoma patients using machine learning and deep learning models. She actively meets with the Dept of Neuro-Radiology, Cleveland Clinic to work on the annotation pipeline of the Glioblastoma tumor and to gain a physician's perspective on clinically motivated research. She earned her bachelor's degree in Biomedical Engineering at the University of Mumbai and did her undergrad research in analysing and classifying imaging patterns observed using Deep Learning models on medical datasets. Her academic interests lie in expanding her research in medical image analysis, image processing and artificial intelligence. When not working, she volunteers at the UN to fulfill the Sustainable Development Goal of providing equal and quality education for all and also believes that her Hogwarts acceptance letter got lost in the mail and is secretly a wizardess.
Biomedical Software Engineer
Rohan Bareja is a biomedical software engineer in the BrIC lab. He has a background in bioinformatics. In his previous role at Weill Cornell Medicine, he analyzed cancer sequencing datasets and focused on predicting pathways of mutated and cancer-related genes in ‘personalized genomes' of the patients. He also explored associations between mutational burden, expression outliers, gene fusions, and immune cell infiltration in multiple advanced cancer types. His research currently focuses on developing radiomic models using imaging, to predict tumor subtypes and survival. He is also interested in investigating imaging features, and explore the underlying molecular associations involving genes, pathways, and develop radio-genomic signatures to predict outcomes. Rohan likes autumn and loves to go to Vermont every year for its picturesque towns and do leaf-peeping.
Sukanya Iyer, 2017 - 2020 - Now works at Analogic
Niha Beig, 2015 - 2019 - Now works at Tempus Labs
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.