Fifty-five students graduate as part of HST Class of 2019 On Friday, May 31, HST held its 2019 graduation ceremony and reception on the sixth floor of the MIT Media Lab. EECS honors three HST/IMES faculty for excellence in teaching Thomas Heldt, W.M. Keck Career Development Professor in Biomedical Engineering, Peter Szolovits, professor of computer science and engineering, and David Sontag, Hermann L. F. von Helmholtz Career Development Professor of Medical Engineering. For one graduate student, MIT's nuclear reactor is like a "second home" On the cusp of graduation, health sciences and technology doctoral candidate Agata Wiśniowska '11 sustains her decade-plus connection to the MIT Nuclear Reactor Lab. Structure of T cell epitopes a decisive factor in natural HIV control, study finds Researchers apply network theory to HIV protein structure, uncovering a vital link between connectivity and protective immune response. Painting a fuller picture of how antibiotics act Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance. Pagination First page « First Previous page Previous … Page 82 Page 83 Page 84 Current page 85 Page 86 Page 87 Page 88 … Next page Next Last page Last »
Fifty-five students graduate as part of HST Class of 2019 On Friday, May 31, HST held its 2019 graduation ceremony and reception on the sixth floor of the MIT Media Lab.
EECS honors three HST/IMES faculty for excellence in teaching Thomas Heldt, W.M. Keck Career Development Professor in Biomedical Engineering, Peter Szolovits, professor of computer science and engineering, and David Sontag, Hermann L. F. von Helmholtz Career Development Professor of Medical Engineering.
For one graduate student, MIT's nuclear reactor is like a "second home" On the cusp of graduation, health sciences and technology doctoral candidate Agata Wiśniowska '11 sustains her decade-plus connection to the MIT Nuclear Reactor Lab.
Structure of T cell epitopes a decisive factor in natural HIV control, study finds Researchers apply network theory to HIV protein structure, uncovering a vital link between connectivity and protective immune response.
Painting a fuller picture of how antibiotics act Machine learning reveals metabolic pathways disrupted by the drugs, offering new targets to combat resistance.
