Dr. Joshua Kangas

Biography

Joshua Kangas is an Associate Teaching Professor and Co-Director of the M.S. Automated Science Program at the Ray Stephanie Lane Computational Biology Department at Carnegie Mellon University. He primarily focuses on providing students with hands-on experience in experimental design and execution, facilitating the interface between laboratory experimentation and computational data analysis. As a founding member of academic programs aimed at expanding the field of Computational Biology, he works alongside Dr. Phillip Compeau in launching initiatives that emphasize laboratory techniques and the necessary algorithms for analyzing DNA sequence data. Kangas also plays a pivotal role in shaping the M.S. Automated Science program, which is dedicated to biological experimentation. His teaching encompasses a range of laboratory courses that integrate computational analysis, including machine learning modeling, alongside biological data generation techniques such as sequencing, microscopy, and cytometry. His research interests are diverse and primarily centered on creating stimulating experimental opportunities, particularly in studying the microbiomes of rivers and the toxicity of snake venom in Pittsburgh.

Research Interests

Experience