Software Engineer
CurrentDevelopment of software infrastructure and machine learning for control of plasma-based processes.
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@mit.edu
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Aik Rui Tan is listed as Software Engineer at Applied Materials, a company with 21246 employees, based in Cambridge, Massachusetts, United States. AeroLeads shows a work email signal at mit.edu and a matched LinkedIn profile for Aik Rui Tan.
Aik Rui Tan previously worked as Graduate Research Assistant at Massachusetts Institute Of Technology and Quantitative Analyst Intern at Sesco Enterprises. Aik Rui Tan holds Doctor Of Philosophy - Phd from Massachusetts Institute Of Technology.
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I am a software engineer at Applied Materials working in the intersection of machine learning, process control, and physics of plasma processes.I obtained a Ph.D. degree in Computational Materials Science from MIT, where I focused on developing deep learning models, automation pipelines, materials/cheminformatics, and uncertainty quantification strategies to accelerate materials modeling and simulations.I have experience with: Python/C++/Bash/Unix, databases (SQL), GPU parallel programming, atomistic simulation softwares (VASP, Orca, LAMMPS, OpenMM), deep learning libraries (PyTorch, Keras), software design and development, high-performance computing, and physics-based modeling and simulation.
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Gloucester, Massachusetts, United States
Development of software infrastructure and machine learning for control of plasma-based processes.
Cambridge, Massachusetts
Advisor: Professor Rafael Gómez-BombarelliResearch work: developing machine learning models for accelerated materials simulations and discovery, and software packages for computational materials science.Some accomplishments:- Developed deep learning models using adversarial attacks and uncertainty quantification to improve robustness of neural network.
Monroeville, Pennsylvania, United States
- Developed machine learning models for electricity generation predictions.- Productionized models through database management, model refinement, and front-end development for real-time forecasts.- Designed a simplified model to analyze power flow within the electricity grid.
Gloucester, Massachusetts, United States
- Automated particle-in-cell simulations and analysis for equipment design.- Optimized plasma uniformity at wafer for ion implantation machines.
Shukla Group at University of Illinois Urbana-ChampaignResearch Field: Study of agrochemical's toxicity using deep learning neural networks- Developed neural network models for predicting molecular toxicity in agricultural chemicals.- Studied model interpretability and toxicity-inducing functional groups based on molecular representations.
Class: MSE 489 (Materials Selection for Sustainability)
NCSA, Urbana, Illinois
Project: Benchmarking machine learning methods used in property prediction of crystalline structures- Implemented deep learning frameworks with crystalline structural descriptors from research articles for public use.- Benchmarked models for property prediction and materials design
Urbana-Champaign, Illinois Area
Ferguson Materials Research Group at University of Illinois Urbana-ChampaignResearch field: Enhanced sampling of peptides using auto-associative neural networks- Integrated auto-associative neural networks and nonlinear dimensionality reduction for umbrella sampling of alpha helix and beta hairpin peptide structures (published in J. Chem. Phys.).
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Daniel Cruz
Colleague at Applied Materials
Texas, United States, United States
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PL
Pavel Lashkevich
Colleague at Applied Materials
Israel, Israel
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Ilya Tokarsky
Colleague at Applied Materials
Israel, Israel
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Pearl Hsu
Colleague at Applied Materials
Tainan City, Tainan City, Taiwan, Taiwan, Province Of China
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Aviv Waisbart
Colleague at Applied Materials
Mishmar David, Center District, Israel, Israel
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Pushya R
Colleague at Applied Materials
Karnataka, India, India
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KS
Kyung Sun Park
Colleague at Applied Materials
Sunnyvale, California, United States, United States
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JP
Jim Pixley
Colleague at Applied Materials
Dover, New Hampshire, United States, United States
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Jingfeng C.
Colleague at Applied Materials
Chengdu, Sichuan, China, China
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AJ
Ahnil Jung
Colleague at Applied Materials
Bundang-dong, Gyeonggi, South Korea, Korea, Republic Of
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Quick answers generated from the profile data available on this page.
Aik Rui Tan works for Applied Materials.
Aik Rui Tan is listed as Software Engineer at Applied Materials.
AeroLeads has found 2 work email signals at @mit.edu for Aik Rui Tan at Applied Materials.
Aik Rui Tan is based in Cambridge, Massachusetts, United States while working with Applied Materials.
Aik Rui Tan has worked for Applied Materials, Massachusetts Institute Of Technology, Sesco Enterprises, University Of Illinois At Urbana-Champaign, and Wholetale Organization.
Aik Rui Tan's colleagues at Applied Materials include Daniel Cruz, Pavel Lashkevich, Ilya Tokarsky, Pearl Hsu, and Aviv Waisbart.
You can use AeroLeads to view verified contact signals for Aik Rui Tan at Applied Materials, including work email, phone, and LinkedIn data when available.
Aik Rui Tan holds Doctor Of Philosophy - Phd from Massachusetts Institute Of Technology.
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