AI4Science/Amazon AWS Cloud Credit Recipients

Year	Project Title	Award Recipients	Division
2022	Developing a DFT-based Ligand-Substrate Prediction Pipeline for Nickel-Catalyzed Reactions.	Sarah Reisman	Chemistry and Chemical Engineering
2022	Exploring the effects of rapidly acting antidepressants on neuronal activity through microscopy and deep learning	David A. Prober, Andrey Andreev, Zack Blumenfeld & Henry A. Lester	Biology and Biological Engineering
2022	Growing Arbitrary Patterns with Neural Reaction-Diffusion	Eric Winfree & Salvador Buse	CS, CNS & BioEng / Engineering and Applied Science
2022	Graph neural networks for volumetric meta-optics design	Andrei Faraon	Applied Physics and EE/Engineering and Applied Science
2022	Physics-based Modeling of Near-Source Tsunami Hazards for Coastal Communities	Ares J. Rosakis & Mohamed Abdelmeguid	Aeronautics & MechE/Engineering and Applied Science
2022	AstroQML: Quantum Machine Learning for Astronomy	Matthew J. Graham	Astronomy
2022	Characterizing and leveraging the expressivity of protein dimerization networks	Michael Elowitz	Biology and Biological Engineering
2022	Finding Rare Astrophysical Sources	Matthew Graham, Lynne Hillenbrand, Michael Coughlin, Andrew Drake & Ashish Mahabal	Astronomy
2022	Activity-Enhanced Self-Assembly of Colloidal Diamonds	John F. Brady	Chemistry and Chemical Engineering
2022	Tracking natural insect populations with AI	Michael H. Dickenson & Joseph Parker	Biology and Biological Engineering
2022	Sentence-level classification of Biological Data for Semi-automated Knowledgebase Curation at WormBase	Paul W. Sternberg	Biology and Biological Engineering
2022	NUPACK: Molecular Programming in the Cloud	Niles A. Pierce	Biology and Biological Engineering
2021	Multiphysical Single Protein Identification - Deep Learning for Multiphysical Single Protein Identification	Michael Roukes Group	Physics, Mathematics and Astronomy
2021	Political Polarization, Geographic Sorting, and Novel Methods for Large Administrative Data	Claudia Kann & Daniel Ebanks	Humanities and Social Sciences
2021	Dynamic Topic Modeling with Spectral Methods	Zhuofang Li	Social Science
2021	Optimized Terapixel Scale Processing of Astronomical Images	Graham (Bruce) Berriman	IPAC
2021	BBE Education	Justin Bois	Biology and Biological Engineering
2021	Using Cloud Computing For The Detection And Prevention of Social Media Misinformation and Harassment	R. Michael Alvarez	Humanities and Social Sciences
2021	Learning an Index of Economic Complexity	Frederick Eberhardt & Patrick Burauel	Humanities and Social Sciences
2021	Harm Reduction in Tobacco Addiction: Pharmacokinetics of Nicotine for Smoking Cessation	Henry A. Lester	Biology and Biological Engineering
2021	NUPACK: Molecular Programming in the Cloud	Niles A. Pierce	Biology and Biological Engineering
2021	Preventing T cell exhaustion by engineering oscillatory circuits	Shirin Shivaei	Bioengineering
2021	The ZTF AGN Catalog	Matthew J. Graham	Astronomy
2021	Computational design of computational protein networks	Michael Elowitz	Biology and Biological Engineering
2020	Text Similarity Query System to Improve Biological Curation of Scientific Articles at WormBase	Paul Sternberg/Hans-Michael Muller/Valerio Arnaboldi/Daniela Raciti/Kimberly Van Auken	Biology and Biological Engineering
2020	Active Drug Delivery	John F. Brady/(Edmond) Tingtao Zhou/Zhiwei Peng	Chemistry and Chemical Engineering
2020	Expanding the Definition of a Functional Protein with Ancestral Sequence Reconstruction for Semi-Supervised Transfer Learning in Protein Engineering	Bruce J. Wittmann/Kadina E. Johnston/Frances H. Arnold	Chemistry and Chemical Engineering
2020	Discovery of Microscopic Control Strategies Involving Active Matter by Using State-of-the-Art Reinforcement Learning Techniques	Dominik Schildknecht/Enrique Amaya/Matt Thomson	Biology and Biological Engineering
2020	Causal Discovery Methods for Astrophysical Data	Frederick Eberhardt/Eric Huff	Humanities and Social Sciences
2020	Computational Lineage Motif Analysis of cell fate decision programs during differentiation	Michael Elowitz	Biology and Biological Engineering
2020	Memory maps as long-term memory storage in recurrent neural networks	James Gornet/ Matt Thomson	Biology and Biological Engineering
2020	Embedding of single cell drug perturbation experiments by graph neural networks	Jialong Jiang/Sisi Chen/Tahmineh Khazaei/Matt Thomson	Biology and Biological Engineering
2020	Millisecond Astronomy with the Zwicky Transient Facility	Mansi Kasliwal/Igor Andreoni/Matthew Graham/Ashish Mahabal/Roger Smith/Stephen Kaye/Sterl Phinney/Richard Walters	Physics, Mathematics and Astronomy
2020	Finding Rare Astrophysical Sources	Mahabal Ashish/Kevin Burdge/Michael Coughlin/Andrew Drake/Dmitry Duev/Matthew Graham/Lynne Hillenbrand/Przemek Mroz/Joannes Van Roestel	Physics, Mathematics and Astronomy
2020	NUPACK: Molecular Programming in the Cloud	Niles Pierce	Biology and Biological Engineering
2020	Development of a high throughput analysis pipeline for whole-brain light sheet imaging during behavior	Andrey Andreev/Amina Kinkhabwala/David Prober	Biology and Biological Engineering