ML for statistical data compression

We are sorry, this position has been filled.

We are seeking very strong programmers with basic algorithmic/ML skills, to build a disruptive digital storage platform with unprecedented compression rates and speed (for example, genomic data). The basic idea is to model data accurately using statistical learning algorithms, and combine them with state of art compression methods, to save on storage space and I/Os.

Lab: Theory

Direct Supervisor: Omri Weinstein

Position Dates: 10/1/2018 - 4/30/2019

Hours per Week: 6

Paid Position: Yes

Credit: Yes

Eligibility: Masters, Junior, Senior; SEAS only

Omri Weinstein: [email protected]