Meet the faculty of City Tech and Weill Cornell Medicine

Professor Giannopoulou holds a Postdoctoral in Computational Biology from Cornell University, PhD in Computer Science/Bioinformatics from University of Peloponnese and BS in Computer Science from Athens University of Economics and Business.

Professor Zahran holds a Postdoctoral in Computational Biology-NYU, PhD in Biology- Ruprecht-Karls-Universität Heidelberg, Germany, MSc. in Computational Molecular Biology and Bioinformatics from University Paris Diderot, BS in Biology and Bioinformatics from University of Paris VI and University of Evry.

Professor Daniels holds a PhD in Bioinformatics from Columbia University, MSc. in Management and Operations Research from NYU Polytechnic University and BS in Computer Science from Brooklyn College.

Professor Seto holds a and PhD in Neuroscience from Weill Graduate School of Medical Sciences of Cornell University and BA in Biological Sciences and Psychology from Rutgers College – Rutgers University.

Professor Solis holds a and PhD in Biomedical Sciences from Mount Sinai School of Medicine, MPhil in Biomedical Sciences from Graduate Center, CUNY, MSc. in Chemical Engineering from Yale University, BS in Agricultural and Biological Engineering from Cornell University.

Professor Qiu holds a Postdoctoral Fellow in Bioinformatics and Evolution from University of Maryland Biotechnology Institute, , PhD in Ecology and Evolution from Stony Brook University, MSc. in Biotechnology from Shanghai Jiao Tong University and BS in Biochemistry from Fudan University.

Professor Pathak’s research interest and expertise contribute to developing and applying informatics methods for data mining and phenotype extraction from electronic medical records (EMRs), and their applications in pharmacogenomics. In addition, Professor Pathak focuses on comparative effectiveness research, and population health research, particularly focusing on mental health disorders.
Throughout his career, he has lead and collaborated across multiple investigators in several NIH/DHHS consortiums, including, most recently at Mayo, as the Co-PI of eMERGE (http://gwas.org) and PI of PCORI Learning Health Systems Clinical Data Research Network (http://lhsnet.org), and currently at Weill Cornell, as the Co-PI for the PCORI New York City Clinical Data Research Network(http://nyccdrn.org) and the PI for NIH Big Data to Knowledge (BD2K) R25 Training and Education Program on Computational Biomedicine (http://bdc4cm.org).

Professor Pathak holds Postdoctoral in Bioinformatics from Mayo Clinic, PhD in Computer Science from Iowa State University and BS in Computer Science from National Institute of Technology.

Professor Elemento and his team of researchers focus on the systems biology of cancer; prostate cancer and hematological malignancy levels using high-throughput sequencing to decipher epigenetic mechanisms and regulatory networks at play in malignant cells and study the effects gene expression.

Professor Elemento leads the computational activities in the Englander Institute for Precision Medicine, which increasingly involve using cloud analytics and storage. In addition, he is the associate director of the Institute for Computational Biomedicine, co-assistant dean for Scientific Computing and co-leader of the Cancer Center Program on Genetics and Epigenetics.

Professor Elemento holds a PhD in Computational Biology from Princeton University, MSc. in Artificial Intelligence from University of Montpellier, and BS in Mechanical Engineering from University of Paul Sabatier, MS in Mechanical Engineering from INSA Toulouse/ University of Nottingham.

Professor Betel leads a group of computational biologists in developing computational infrastructure specific to the Core activities. The Core devotes considerable research and development efforts towards new methods development and critical assessments of existing methods. Professor Betel also leads a research group which focuses on the development of novel algorithms and computational resources for genomic research. The research group is currently collaborating with a number of research groups in studies of the impact of microbiome on tumor genesis, genetics of colorectal cancer, development of stem-cell models for neurodegenerative diseases and studies of protein-RNA interactions.

Professor Betel holds a Postdoctoral/Fellow in Computational Biology from Memorial Sloan Kettering Cancer Center, PhD in Computational Biology from University of Toronto and BS in Biology/Chemistry from York University.

Professor Ancker’s research focuses on using health information technology to improve decisions and healthcare quality using both qualitative and quantitative methods. She has expertise in both electronic health records (EHRs) and consumer information technologies. Additionally, she is a recognized expert in the field of health numeracy and patient decision-making. Professor Ancker conducts health information technology evaluation research, which has been published in leading journals in informatics as well as in general medical journals such as JAMA.

Professor Ancker holds a a PhD in Biomedical Informatics from Columbia University College of Physicians and Surgeons, MPH in Biostatistics from Columbia University, Mailman School of Public Health and an AB in History and Science from Harvard College.

Professor Johnson is a nationally recognized leader in graduate education in Health Informatics and Bioinformatics. His research explores the use of information systems to promote communication and collaboration in patient care and biomedical research. Notably, Professor Johnson has established one of the first biomedical informatics masters and doctoral training programs in the country, and developed one of the first comprehensive formal curricula for the discipline.

Professor Johnson holds a PhD in Computer Science from New York University and BA in Computer Science from McGill University.

Professor Wang’s primary research interest focuses on data analytics and its applications in health informatics. He has been working on deriving insights from various kinds of biomedical data, especially patient Electronic Health Records (EHR). One of the major research topic he has been working on is large scale computational phenotyping. Professor Wang’s paper on computational phenotyping with patient similarity was transferred to the first IBM software in healthcare industry called IBM Patient Care and Insights. The corresponding paper has been selected as the “Best of SDM” in SIAM Data Mining conference 2011.

Professor Wang holds a PhD in Automation from Tsinghua University, MSc. and BS in Automation from Xidian University.

Professor Zhang’s research is about how to better leverage information technology (IT) to reduce cost while improving health care. No improvement can be achieved without a thorough understanding of the status-quo. Therefore, Professor Zhang is interested in developing algorithms and software to assist our understanding of the current status of care, and provide decision support for its stake holders: clinical workflow, provider workload, patients’ clinical trajectories.

Professor Zhang holds a PhD in Information Systems Management, Carnegie-Mellon University, MSc. in Biostatistics, Columbia University and BA, Washington University in St. Louis.

Professor Creber focuses on alleviating distressing symptoms for patients with heart failure and other chronic disease conditions by developing, evaluating and implementing health information technology (HIT) solutions. She is working to integrate consumer health informatics tools with electronic health record data to improve disease management of patients from diagnosis through the end of life to inform better clinical- and patient-decision support.

Professor Creber holds a B.S.N in Nursing from the University of Pennsylvania, M.Sc in Epidemiology from University of London (United Kingdom), London School of Hygiene and Tropical Medicine and Ph.D. in Nursing Science from University of Pennsylvania.