AUT Team Awards

Automating Chemical Laboratories Team Awards

Goal: to accelerate innovation and broaden access within the chemical enterprise through advances in automated instrumentation and artificial intelligence.

Team Awards 2024

James Grinias, Chemistry & Biochemistry, Rowan University           
Connor Coley, Chemical Engineering & Electrical Engineering and Computer Science, Massachusetts Institute of Technology
Jessica Sampson, Chemistry and Biochemistry, University of Delaware
Calibration-Free Quantitation of Reaction Yields in High-Throughput Reaction Screening through Absolute Carbon Quantification by LC-FID                   

Michael McGuirk, Chemistry, Colorado School of Mines
Andrea Pickel, Mechanical Engineering, University of Rochester
Getting on the Grid: Parallel Nano-Crystallography for Large-Scale Data Generation         

Grant Rotskoff, Chemistry, Stanford University
Aditi Krishnapriyan, Chemical Engineering / Computer Science, University of California, Berkeley
Andrew Zahrt, Chemistry, University of Pennsylvania
Automated Workflows to Assess Physical Constraints in Neural Networks for Molecular Property Prediction           

Martin Seifrid, Materials Science and Engineering, North Carolina State University
Cory Simon, Chemical Engineering, Oregon State University
Connor Bischak, Chemistry, University of Utah
Reducing the Cost of Device Development with Closed-Loop Proxy Measurements and Supplemental Characterization        

Jolene Reid, Chemistry, University of British Columbia         
Yu Gan, Biomedical Engineering, Stevens Institute of Technology
Closed-Loop Hypothesis Generation for Automated Chemical Synthesis      

Daniel Schwalbe-Koda, Materials Science and Engineering, University of California, Los Angeles
Gabe Gomes, Chemistry / Chemical Engineering, Carnegie Mellon University
Jeffrey Lopez, Chemical and Biological Engineering, Northwestern University
Structure Identification in Complex Chemical Mixtures Using Boltzmann Spectroscopy      

Laura Ackerman-Biegasiewicz, Chemistry, Emory University
Gabe Gomes, Chemistry / Chemical Engineering, Carnegie Mellon University
A Data-Driven Approach for Derisking Chemical Synthesis