John Rachlin is an assistant teaching professor in the Khoury College of Computer Sciences at Northeastern University. Prior to joining Northeastern, he was a Staff Software Engineer at Fitbit and a Principal Software Engineer at Optum Analytics. At Optum, he developed tools and technologies to integrate and analyze patient electronic medical record (EMR) data as part of the company’s transition to Hadoop-based distributed computing. He is also the Co-Founder of Diatom, LLC, a software consultancy specializing in bioinformatics, healthcare, and big-data solutions.
I grew up in Vermont on the shores of Lake Champlain
My PhD thesis presented a novel graph-theoretic model called multi-node graphs where edges are activated or deactivated as a function of the state of their incident vertices. Such graphs are useful for modeling biological networks and for optimizing constraints in multiplex PCR assay design.
My current research is focused on the development of scalable multi-objective optimization and decision-support systems using evolutionary algorithms.
John Rachlin is an assistant teaching professor in the Khoury College of Computer Sciences at Northeastern University. Prior to joining Northeastern, he was a Staff Software Engineer at Fitbit and a Principal Software Engineer at Optum Analytics. At Optum, he developed tools and technologies to integrate and analyze patient electronic medical record (EMR) data as part of the company’s transition to Hadoop-based distributed computing. He is also the Co-Founder of Diatom, LLC, a software consultancy specializing in bioinformatics, healthcare, and big-data solutions.
I grew up in Vermont on the shores of Lake Champlain
My PhD thesis presented a novel graph-theoretic model called multi-node graphs where edges are activated or deactivated as a function of the state of their incident vertices. Such graphs are useful for modeling biological networks and for optimizing constraints in multiplex PCR assay design.
My current research is focused on the development of scalable multi-objective optimization and decision-support systems using evolutionary algorithms.