Joshua Kangas | Associate Teaching Professor
Carnegie Mellon University

Joshua Kangas, Associate Teaching Professor, Carnegie Mellon University

Josh is an Associate Teaching Professor in the Computational Biology Department in the School of Computer Science.  His teaching is primarily focused on giving students experience with experimental design and execution at the interface of lab experimentation (data generation) and computation (data modeling and analysis). He was involved in the founding of two academic programs. First, he and Dr. Phillip Compeau (also from Computational Biology) founded the first high school program focused on Computational Biology with an emphasis on both the laboratory techniques and the implementation of algorithms needed for analysis of DNA sequence data. Second, Josh helped to start the first M.S. Automated Science Biological Experimentation program in the world. The laboratory courses he teaches are all focused on the interface of computation (including machine learning and modeling), biological data generation (sequencing, microscopy, cytometry, etc.), and artificial intelligence-directed laboratory automation. Josh has a variety of research interests he pursues primarily in service of offering exciting experimental opportunities for students including the microbiome of the three rivers of Pittsburgh and snake venom toxicity.

Appearances:



Day 1: 28th October @ 16:20

Fireside Chat: Connecting People & Platforms: Addressing the Automation Talent Gap and Architecting a New Scientific Workforce

  • What are the non-negotiable digital & robotic competencies required in labs?
  • How can we design teaching programs that prepare the scientific workforce for a future defined by automation and AI?
  • What should industry care and what impact can ill equip scientists have when entering industry setting?
  • How can we build a co-development loop between academia and industry to ensure graduates are day-zero ready for the automated lab?
last published: 07/Oct/26 20:35 GMT

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