The momentum behind the Data Science Bowl comes from the collective minds and vision of a world-class team. Our common bond is our passion for trying to solve the previously impossible. We want to challenge ourselves, our colleagues, and data science community to take action and impact the world. We want to show that data science has the power to use insights from our past to build and unprecedented future. We want you to be part of something bigger than any one of us.
Dr. Josh Sullivan
Josh leads Booz Allen’s Data Science and Machine Intelligence efforts. He has more than 17 years of experience applying computer science in domains such as cyberspace, healthcare, national intelligence, and military operations. Prior to Booz Allen, he was a technical director for an engineering firm in Virginia. He has a B.S. degree in computer science from Missouri University of Science and Technology, an M.S. degree in IT from Johns Hopkins University, and a Ph.D. in applied computer science from Northcentral University.
Steven leads a team of data scientists in the firm’s Data Science and Machine Intelligence practice, working across defense, health, and financial services. He has deep expertise in data science, advanced analytics, Operations Research, and modeling & simulation. He leads the Firm’s Data Science for Social Good agenda and the Cloud Analytics & Data Science community of practice. Mills holds a BS from Frostburg State University in Wildlife and Fisheries Management and an MS in Operations Research and Forest Resource Management from Penn State University.
Eric is a Chief Technologist in Booz Allen’s Strategic Innovation Group, specializing in the delivery of data science applications across DoD markets. An expert in data engineering and analysis, he leads consulting engagements for DoD/Federal clients. Eric holds a master’s degree in statistics and certifications in Apache Hadoop Development (HDPCP) as well as Project Management (PMP). Prior to joining Booz Allen, Eric provided biostatistical support to researchers at the Johns Hopkins Sidney Kimmel Comprehensive Cancer Center.
Nilofer has more than 15 years of experience in designing strategy and implementing tactics to develop meaningful and measurable customer relationships. She combines a technology and business perspective based on extensive experience – from developing code and implementing systems that manage client relationships to designing processes and building teams tied to customer sales, retention, and positive engagement. Nilofer brings her passion and industry experience to the Data Science Bowl and our Booz Allen Data Science and Machine Intelligence efforts.
In 2011 & 2012, Forbes Magazine named Anthony as one of the 30 under 30 in technology. In 2013 the MIT Tech Review named him one of top 35 innovators under the age of 35, and the University of Melbourne awarded him an Alumni of Distinction Award. He holds a first call honors degree in Econometrics from the University of Melbourne. Anthony has published in the The Economist and the Harvard Business Review.
William Cukierski, PhD
William leads Kaggle’s competitions platform. He consults on applied machine learning and data analytics for numerous Fortune 100 companies, non-profits, and research groups. He has a bachelor’s degree in physics from Cornell University and a PhD in biomedical engineering from Rutgers University, where he studied applications of machine learning to cancer research. Prior to joining Kaggle, he was a top finisher in several of its major challenges.
Meghan graduated from Santa Clara University with a double bachelor’s degree in Economics and Marketing. Prior to joining Kaggle, Meghan worked as the Manager of Professional Services for a boutique outsourcing firm, where she was responsible for scaling project management operations.
Dr. Keyvan Farahani is the Program Director for Image-Guided Interventions (IGI), Cancer Imaging Program, National Cancer Institute (NCI). In this capacity, he is responsible for the development of NCI research initiatives that address diagnosis and treatment of cancer through integration of advanced imaging and minimally invasive interventions, including nanotechnologies. He has led NCI initiatives in Oncologic IGI focused on small business development, early phase clinical trials, and image-guided drug delivery research. Since 2013, in collaboration with national and international academic groups, he has led organization of many computational challenges related to imaging, digital pathology, and radiomics of cancer, conducted through international scientific societies. He Chairs the NCI Quantitative Imaging Network’s Task Force on Challenge and Collaborative Projects. Dr. Farahani obtained his PhD in Biomedical Physics from the University of California at Los Angeles in 1993.
Paul F. Pinsky
Paul Pinsky is currently chief of the Early Detection Research Group, Division of Cancer Prevention, National Cancer Institute, NIH. Two large cancer screening trials sponsored by the branch have recently been completed, the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial and the National Lung Screening Trial (NLST), with continued follow-up ongoing. The branch has a grant portfolio related to cancer screening and early detection and advises on clinical trial design and evaluation of evidence in the cancer screening field.
Dr. Pinsky received an M.P.H. in epidemiology from Columbia University and a Ph.D. in applied mathematics from the University of Maryland, College Park. He has previously worked at the Centers for Disease Control and the Food and Drug Administration. He has published over 30 first-authored papers in cancer prevention and related fields.
Radboud University Medical Center
Diagnostic Image Analysis Group
Dr. Bram van Ginneken
Bram leads the Diagnostic Image Analysis Group at Radboud University Medical Center in Nijmegen, The Netherlands. He has twenty years of experience on machine learning with medical image data, and has published numerous papers on automated analysis of chest CT scans for lung cancer screening. He has a Master’s degree in Physics and a PhD in medicine from Utrecht University. Since 2007 he has been involved in organizing over fifteen medical image analysis challenges.