Engineering Probability Information & Communications (EPIC) Lab.
The lab. collaborates with communications engineers and information theorists to develop and realize mathematically principled systems that enhance the reliability and efficacy of communication networks.
The lab collaborates with cutting-edge wet lab researcher teams that generate new data modalities by developing numerate frameworks that draw inferences, make predictions, and extract meaning.
The lab collaborates with forensic and computational scientists to design systems and algorithms to accurately interrogate crime scene samples and enhance interpretative power.
With collaborators at Northeastern University, the Massachusetts Institute of Technology, and Boston University, and support from DARPA, the team is developing Guessing Random Additive Noise Decoding. a new generation of error correction decoders that can accurately and efficiently decode any moderate redundancy code, even the humble CRC.
With collaborators at Institute Curie, Imperial College London, and the Walter and Elisa Hall Institute, the team is developing stochastic programs coded in DNA, efficient methodologies for extracting and statistically analyzing 3D and 4D data, and methodologies to draw inferences about cells executing probabilistic programs from complex time-course data.
With collaborators at Rutgers University, the team is developing methodologies to expand the remit of DNA Forensics by leveraging the power of single-cell technologies and developing the statistical and computational framework required to confidently assess the resulting high dimensional data.