Undergraduate Researcher Harvard John A. Paulson School of Engineering and Applied Sciences Research My research interests include modeling biological systems, bioinformatics, and medical devices. Currently, I am completing a senior research project with the lab. I am working on designing a fault detection and classification module to enable the detection of faulty intra-venous […]
Postdoctoral FellowJohn A. Paulson School of Engineering and Applied SciencesHarvard University Research I am interested in Model Predictive Control, System Identification, Data Analysis, Machine Learning and Bayesian Learning. My research has been mainly focused on the development of control algorithms for regulating the glucose concentration in the framework of Artificial Pancreas development for Type 1 […]
Postdoctoral FellowJohn A. Paulson School of Engineering and Applied SciencesHarvard University Research I am interested in applying engineering methodologies to understand translational medicine problems and improve the patient care. My main focus has been on improving blood glucose control in individuals with type 1 diabetes. I have experience in identifying relationships between different factors (i.e., […]
Postdoctoral FellowJohn A. Paulson School of Engineering and Applied SciencesHarvard University Research Fault diagnosis, robust filtering, model predictive control, machine learning, stochastic networked systems, biomedical systems Education Ph.D., Tsinghua University, 2019 B.S., Northeastern University, 2013 Contact Email: zhangjunfeng (at) g (dot) harvard (dot) edu
PhD Student, Computer Science John A. Paulson School of Engineering and Applied Sciences Harvard University Research My research interests lie in the intersection of machine learning and healthcare, specifically in the development of medical decision and diagnostic tools for chronic diseases. My current research involves developing and evaluating a decision support system for multi-daily insulin injections […]
PhD Candidate, Applied Mathematics John A. Paulson School of Engineering and Applied Sciences Harvard University Research My research focuses on the use of different mathematical techniques, including both continuous differential equation based models and more discrete machine learning techniques, to explore biological systems, including those involved in the development of circadian rhythms and post traumatic stress […]
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Postdoctoral Researcher Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138 Research: I am working on the optimization of insulin delivery control system, especially interested in extremum seeking, iterative learning control, model-free optimization and online convex optimization. Education: B.S., Zhejiang University, 2012 Ph.D., Hong Kong University of Science and Technology, 2016 Visiting student, […]
Dean, Harvard Paulson School of Engineering & Applied Sciences, John A. and Elizabeth S. Armstrong Professor of Engineering and Applied Sciences Education BS: 1985, ChE, Princeton University MS: C.P.G.S., 1986, Cambridge University PhD: 1991, California Institute of Technology Honors National Academy of Medicine (NAM) Member, 2016. American Association for the Advancement of Science (AAAS) Fellow, 2011. Institute […]
Mellichamp Chair in Process Control
Director, Institute for Collaborative Biotechnologies
Associate Dean of Research, College of Engineering
Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
The success of the human genome project has ushered in a new era that emphasizes a systemic or integrated approach to ascertain the cellular behavior arising from complex cellular networks. Scientists are now embarking on a quest to elucidate the organization and control of cellular networks that underlie the phenotypic behavior of a cell; these […]
Sansum Diabetes Research Institute
Our experimental collaborators, a research center devoted to the prevention, treatment and cure of diabetes http://www.sansum.org/
Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
The success of the human genome project has ushered in a new era that emphasizes a systemic or integrated approach to ascertain the cellular behavior arising from complex cellular networks. Scientists are now embarking on a quest to elucidate the organization and control of cellular networks that underlie the phenotypic behavior of a cell; these […]
