Automated laboratory will provide researchers with state-of-the-art facilities for life sciences and chemistry research Carnegie Mellon University and Emerald Cloud Lab (ECL) have entered into a partnership to build the world’s first cloud lab in an academic setting. The remote-controlled lab will provide a universal platform for artificial intelligence-driven experimentation and revolutionize how academic laboratory research and education are done, accelerating the pace of discovery as part of Carnegie Mellon’s $250 million investment in state-of-the-art science facilities. The Carnegie Mellon University Cloud Lab will be based on the commercial cloud lab platform created by the San Francisco-based ECL. Founded by Carnegie Mellon...
Robert Murphy, Ray and Stephanie Lane Professor of Computational Biology, Emeritus, was presented the Alan J. Perlis award during the School of Computer Science’s Founders Day celebration. This award was established in 2013 to recognize Carnegie Mellon University faculty who has shown sustained creativity in out-of-the-box computer science, leading to demonstrated real-world impact. Dr. Murphy has worked with both experimental and computational cell biology, with a particular emphasis on developing fully-automated methods to understand the subcellular locations of proteins and how they change during development or disease (location proteomics). He has use machine learning methods to compare, classify and cluster...
The Langmead lab has developed the world’s first algorithm for closed-loop optimization in cloud laboratories. The emergence of commercial robotic Cloud Laboratories (ex. Emerald Cloud Lab) presents exciting new opportunities for automating scientific research. The new algorithm, named PROTOCOL (PaRallel OptimizaTiOn for ClOud Laboratories), enables closed-loop AI-driven cloud labs by automatically selecting and executing experiments to achieve a user-defined objective. PROTOCOL introduces a novel approach to asynchronous parallel Bayesian optimization and is probably optimal. Specifically, it achieves exponential convergence with respect to simple regret. The algorithms has been demonstrated on the Emerald Cloud Lab and has been published in a paper in the journal...
Huangqingbo (Paul) Sun, a member of the first graduating class of our M.S. in Automated Science program, has published his first journal paper in the leading computational biology journal, Bioinformatics. His work with Dr. Murphy developed a new method for matrix completion, an important technique often using in the active learning methods that drive automated science applications. It deals with a specific type of matrix completion in which the results of experiments are phenotypes (or categorical variables). Paul demonstrated that the new method significantly outperforms previously described methods. Paul is remaining at Carnegie Mellon as a Ph.D. student in the Carnegie Mellon-University of Pittsburgh Ph.D....
Prospective students often ask us: ‘Where can I get a job with a degree in Automated Science?’ We can now provide definitive answers! Some members of the class of 2021 will go on to Ph.D. programs, including: Computational Biology(CMU-Pitt) Bioengineering (UIUC) Biomedical Sciences (UT Southwestern Medical Center) Experimental Medicine (McGill) The rest will be going to industry. Specific companies include: Automation Engineer at Twist Bioscience Bioinformatics Analyst at Geisinger Bioinformatics Engineer at Strata Oncology Intuitive Surgical Scientific Developer at Emerald Cloud Lab Assistant Product Manager at Bayer Pharmaceuticals
Drs. Murphy, Langmead, and Kangas would like to congratulate the members of the MSAS inaugural class for a job well done! We are proud to call you alumni and wish you the very best. Keep in touch!!!
More evidence of the value of our automated science M.S. program came this week from an article on robotics trends that extensively quotes Dr. Murphy, MSAS program director.
Prof. Christopher Langmead releases a free, online course covering topics relevant to SARS-CoV-2/COVID-19.
Gil Eapen’s “Scientific Sense” podcast talks with the world’s leading scientists and economists about their research and emerging ideas in a variety of domains. Dr. Murphy was recently interviewed and talked about Biomedical Engineering and Machine Learning at Carnegie Mellon University.
Dr. Murphy was recently interviewed as part of an episode of Laboratory automation in the Seeker video magazine “Focal Point”. Dr. Murphy’s comments start at 3:26.
- Carnegie Mellon University and Emerald Cloud Lab to Build World’s First University Cloud Lab
- Robert Murphy receives the Alan J. Perlis Award
- Langmead lab introduces the first algorithm for AI-driven cloud labs
- Huangqingbo Sun Publishes First Paper in Bioinformatics
- The Class of 2021. Where are they now?