Updating my home
he Department of Biomedical Informatics is committed to improving biomedical research and clinical care through the innovative application of informatics.Currently funded projects explore areas such as genomic and proteomic data mining, natural language processing, machine learning, and biosurveillance.
Becich is a Professor of Biomedical Informatics, Pathology, Clinical/Translational Sciences, Information Sciences/Telecommunications.
He is the Chair of the Department of Biomedical Informatics and Associate Vice-Chancellor for the Health Sciences. Cooper is the Vice chair of the Department of Biomedical Informatics and Professor of Biomedical Informatics, Computational Biology, Computer Science, Information Science, and Intelligent Systems.
Associate Professor Day leads development of the Oncology Thinking Cap computer modeling facility, which uses stochastic models of tumor growth to help researchers do thought experiments about cancer biology and treatment.
My education in science led to work in laboratory research before deciding to change careers.
Wanting to apply my scientific knowledge to another field, I completed my MLIS degree at Pitt and was fortunate enough to be selected for admission to the NLM-funded Biomedical Informatics and Health Sciences Librarianship Traineeship.
Personal Statement Turning to DBMI, one of the top tier programs in the country, to obtain my Masters in Biomedical Informatics was a natural transition for me since I was already in Pittsburgh having just obtained my MD at Pitt’s School of Medicine.
Active participation in research and development is a key element of the educational experience at DBMI.Assistant Professor whose current research focus is in the area of computational molecular and systems biology, translational bioinformatics and biomedical text mining, using signal processing and machine learning. Hochheiser’s research focuses on the design of usable systems for use in clinical and research settings.His other interests include universal usability, security, privacy, and public policy implications of computing systems. Bekhuis is an Assistant Professor in Biomedical Informatics, whose research involves machine learning and natural language processing to improve systematic review methods, as well as translation of best evidence for clinicians. Lu’s research focuses on the computational methods for identifying signaling pathways underlying biological processes and diseases as well as Statistical methods for acquiring knowledge from biomedical literature. Chandran's interests include genomic data mining, Next Generation Sequencing data analysis, integrative analysis of The Cancer Genome Atlas Project (TCGA) and development of computing infrastructure for large genomics datasets Personal Statement: After an extended career in Information Technology, I decided to pursue my Ph D within another department at Pitt. Rebecca Crowley, I knew DBMI was the place I needed to be.I immediately transferred to DBMI where I obtained the skills necessary to integrate my technology expertise with Medical Decision Making and Diagnostic Errors in Medicine. Crowley was instrumental in planting the seed of the importance of the cognitive aspects of medical decision making.Like many people before me, my path to Biomedical Informatics was unique.Masters Degree (MS) in Biomedical Informatics Doctoral Degree (Ph D) in Biomedical Information MS or Ph D in Intelligent Systems - BMI Track MD/Ph D in Biomedical Informatics Non-degree Postdoctoral Training Certificate in Biomedical Informatics Online Certificate Program Dr.