|John W. Fisher III|
I run the Sensing, Learning and Inference group. I am a Senior Research Scientist at MIT in the Computer Science and Artificial Intelligence Laboratory.
I am interested in developing graphical models and approximate inference for applications involving complex spatio-temporal processes and physical systems. In particular I am interested in efficient variational approaches which can be applied to a broader class of models than traditional methods. My application interests span many domains including computer vision, computational biology, brain computer interfaces and signal processing. Before joining SLI I completed my PhD at Brown University with Erik Sudderth (2016).
I am a PhD student working with John Fisher; my current research focuses on 3D reconstructions, primarily from multi-modal data. Before coming to MIT, I received a Bachelor's in Electrical Engineering from Florida International University.
I am a Phd student working with John Fisher in the Sensing, Learning and Inference lab. My interests lie in developing Bayesian modeling and inference methods applied to complex physical processes. Prior to joining MIT, I received my BA and MEng from Cambridge University.
|Christopher L. Dean|
I am a PhD student in the SLI group; my current research interests are machine learning, active inference, and information planning. I received my SM in Electrical Engineering and Computer Science from MIT in 2015 and my BS in Computer Science and Engineering from The Ohio State University in 2012.
|David S. Hayden|
I am a PhD student at MIT in the Sensing, Learning and Inference (SLI) group under the supervision of John Fisher. My interests are in modelling and predicting interactions among time-series (such as social interactions in videos) via machine learning and computer vision approaches. Applications of special interest include video understanding, human/animal behavioral modeling, wearable computing, assistive technology, social media and finance.
|Stephen J. Lee|
I am a PhD Student in the SLI group and the MIT Energy Initiative's Universal Energy Access Lab. I'm interested in probabilistic models for spatial processes and energy systems analysis.
|Vadim S. Smolyakov|
My research interests are in the area of statistical inference and machine learning in application to computer vision. Before coming to MIT, I completed my undergraduate degree in Engineering Science at the University of Toronto.
I am a PhD candidate in John Fisher's group. I received my M.Eng in 2007 from MIT, worked in industry for a few years, and came back for more!