Barbara Engelhardt
Associate Professor of Computer Science
Office: 322 Computer Science
Phone: 609-258-0933
Interdisciplinary Research Area: Bioengineering
Research Area: Machine learning, Bayesian statistics, statistical genetics, computational biology, quantitative genetics.
Areas of Impact
Bioengineering and Health
Bioengineers at Princeton bring together fundamental questions about how living systems work with an engineering approach to solving problems. While much work in bioengineering aims to improve human health, advances in the field also help address other global challenges, such as sustainable food, energy, water, and materials.
Data Science
Data science accelerates discovery across nearly all areas of science, engineering, and social science. Students and faculty in this area create new data-analysis techniques and harness advanced computing and storage systems to solve problems in biology, the environment, materials science, communications, security, transportation, and many other areas.
Primary affiliation
Computer Science
Princeton has been at the forefront of computing since Alan Turing, Alonzo Church, and John von Neumann were among its residents. The department, now in a period of major growth, has strong groups in artificial intelligence and machine learning, theory, programming languages, graphics and vision, systems and networking, computer architecture, computational biology and neuroscience, security, privacy, and information technology policy.
