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I am a chemical engineer who is passionate about using computational methods to guide materials development and discovery. Atomic-scale modeling, materials informatics, and machine learning form my main tool set. My current research interest is in efficient data generation and utilization for accelerating materials discovery for catalysis and energy storage applications. Among the recognitions for my work are two “Best Fundamental Paper Awards” from the American Institute of Chemical Engineers and two “Best Paper Awards” from the Joint Center for Energy Storage Research.
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Process ModelerTakedaChicago, Il, Us -
Computational Materials ScientistArgonne National Laboratory May 2022 - Apr 2024Lemont, Il, Us- Design active learning workflows to accelerate materials discovery for Li-ion battery, reducing experiment time from decades to months- Develop machine learning models to predict solubility of solids in organic solvents based on physicochemical and quantum-mechanical descriptors- Benchmark graph neural network methods for accurate property prediction of transition metal carbide catalysts -
Posdoctoral AppointeeArgonne National Laboratory Nov 2018 - Apr 2022Lemont, Il, Us- Developed a multi-objective Bayesian optimization algorithm to identify redox flow battery electrolytes with desired redox potential, solubility, and fluorescence- Collaborated with chemists and roboticists to design an automated experiment for measuring battery performance- Performed quantum mechanical calculations at scale to generate 20,000 optimized structures of adsorbed oxygen on doped metal carbide catalysts
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Postdoctoral FellowNorthwestern University Jul 2016 - Oct 2018Evanston, Il, Us- Evaluated the potential of supported pure and mixed copper oxide nanoclusters for the direct conversion of methane to methanol via density functional theory simulation- Carried out high-throughput computational screening of metal-organic framework catalysts for methane activation -
Graduate Research AssistantUniversity Of Houston 2010 - 2015Houston, Tx, Us- Performed density functional theory calculations and microkinetic modeling to investigate the multifunctionality of bimetallic transition metal catalysts, unravel the mechanism behind CO oxidation over gold/titania, and guide the design of palladium catalysts for methane slip reduction in natural gas vehicles. - Mentored new team members, oversaw undergraduate research projects, and contributed to tutoring and grading for courses such as “Chemical Engineering Thermodynamics” and “Design, Safety & Reliability.” -
R&D Chemical Engineer InternMerichem Company Jun 2008 - Aug 2008Houston, Tx, UsDuring my summer internship, I successfully led the design, construction, and management of a THIOLEX pilot plant aimed at extracting acid gas and mercaptan compounds from hydrocarbon streams. My responsibilities included developing and implementing comprehensive safety and operational procedures, executing detailed material balance calculations, conducting thorough analyses of product quality and yield, and formulating strategies to enhance operational efficiency.
Hieu Doan Skills
Hieu Doan Education Details
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University Of HoustonChemical Engineering -
University Of HoustonChemical Engineering
Frequently Asked Questions about Hieu Doan
What company does Hieu Doan work for?
Hieu Doan works for Takeda
What is Hieu Doan's role at the current company?
Hieu Doan's current role is Process Modeler.
What is Hieu Doan's email address?
Hieu Doan's email address is hadoan@uh.edu
What is Hieu Doan's direct phone number?
Hieu Doan's direct phone number is +183243*****
What schools did Hieu Doan attend?
Hieu Doan attended University Of Houston, University Of Houston.
What skills is Hieu Doan known for?
Hieu Doan has skills like Chemical Engineering, Matlab, Comsol, Aspen Plus, Reaction Kinetics, Dft, Mathematica, Python, Fortran, Process Engineering, Simulations, Materials Science.
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