Ivan Ip, MD, MS, MPH
Assistant Professor in Radiology
Dr. Ip joined the CEBI faculty in July 2012 with a clinical appointment in primary care and general internal medicine at BWH. He is an internist with a focus on health policy, health services research, biostatistics and epidemiology. His expertise in health IT, with special focus on CDS, natural language processing, and ‘big data’ are uniquely suited to the mission of CEBI.
Neena Kapoor, MD
Instructor in Radiology
Dr. Kapoor is a musculoskeletal imaging radiologist and a radiology quality and patient safety officer at BWH. Dr. Kapoor joined CEBI faculty in 2016. Her work is focused on improving patient experience in radiology and the communication of critical radiology results.
Louise Schneider, MD
Assistant Professor of Medicine
A practicing primary care physician, Dr. Schneider brings more than 15 years of experience in design and implementation of health IT solutions, specifically using CDS, to enable evidence‐based practice to improve quality and reduce waste. She also serves as the Medical Director of the Fish Center for Women’s Health at BWH.
Nicole Vetrano, MHA, BS, RT(R)
Clinical Content Analyst
Nicole Vetrano is the current Project Manager for the Harvard Library of Evidence. Nicole attended Massachusetts College of Pharmacy and Health Sciences where in 2007 she earned her Bachelor’s degree in Radiologic Sciences. She further pursued her passion for the field by acquiring a Masters in Healthcare Administration degree at Suffolk University in 2015. Her extensive experience as a Radiologic Technologist, PACS Administrator and Clinical Instructor in Radiology have supplemented her avidity for advancing patient care and quality improvement initiatives with the use of information technology, evidence-based medicine and clinical decision support.
Vlad Valtchinov, PhD
Instructor in Radiology
Dr. Valtchinov’s major focus is in artificial intelligence, imaging and genomics informatics, and design and implementation of ‘big data’ strategies and analytics to accelerate evidence discovery and delivery at the point of care.
Atul Shinagare, MD
Associate Professor in Radiology
Dr. Shinagare is a Staff Radiologist at Brigham and Women’s Hospital, Senior Physician at Dana-Farber Cancer Institute, faculty at the Center for Evidence-based Imaging and Assistant Professor of Radiology at Harvard Medical School. He also serves as the Radiology Quality and Safety Officer and Associate Fellowship Director of the Cancer Imaging Program. Dr. Shinagare’s interests pertain to use of evidence-based medicine, radiomics and informatics to make imaging more efficient and reduce the unwarranted variability in radiology reports. In my role as Radiology Quality and Safety Officer, I strive to standardize the imaging techniques, imaging interpretation and reporting to make radiology reports more clear and minimize the errors.
Laila Cochon, MD, MPH, PhD
Dr. Cochon completed her MD training at Universidad Iberoamericana UNIBE in Santo Domingo, Dominican Republic. She obtained a masters degree in Emergency Medicine and Critical Care, as well as Clinical Research in the Universitat de Barcelona, Barcelona, Spain where she also pursued her PhD in Translational Medicine. Currently, Laila is an informatics research fellow at the Center for Evidence-Based Imaging of Brigham and Women’s Hospital/Harvard Medical School where her research mainly focuses on the use of healthcare IT (electronic health record, clinical decision support systems, machine learning, natural language processing) and its use to further enhance evidence based practice as wells as quality and patient safety. She recently completed an MPH with a focus on Clinical Effectiveness at Harvard School of Public Health.
Isha Gujrathi, MD
Post-Doctoral Research Fellow
Dr. Gujrathi is MD Radiologist from India who is currently working as a Post-doctoral research fellow at the Center of Evidence Based Imaging of the Brigham and Women’s Hospital / Harvard Medical School. Her research projects focus on radiology image reviews and report analysis to standardize image interpretation. She is also closely working with the machine learning team on projects involving liver segmentation. Prior to joining CEBI, she was working as a research assistant at the Mount Sinai Hospital, University of Toronto where she worked closely with the Machine learning team to build a convolutional neural network for detecting prostate cancer. She will be taking a Summer course for Program in Clinical Effectiveness to enhance her research portfolio.
Raein Hashemi, MS
Research Assistant II
Raein received his Bachelors Degree from University of Tehran in Computer Science (Software Engineering) and his Masters Degree from Northeastern University in Medical Informatics and Data Science. Raein was a Research Assistant at the Computational Radiology Laboratory (CRL) of Boston Children’s Hospital. Currently, he is a Research Assistant at the Center for Evidence-Based Imaging (CEBI) of Brigham and Women’s Hospital. At CRL, Raein developed new deep learning strategies for enhanced fetal brain MRI segmentation, as well as brain tissue and lesion segmentation. At CEBI, he is developing new machine learning, deep learning and natural language processing techniques for the analysis of medical images and reports. His research focuses on clinical decision support systems and AI in healthcare.