Dr. Stephen Lam is an Assistant Professor of Chemical Engineering at the University of Massachusetts Lowell. His research focuses on combining multi-scale material & chemical simulation, informed experiments, and advanced data analytics for the purpose of understanding chemical structure, reactions and property relationships. Stephen obtained a PhD in Nuclear Science and Engineering in 2020 from the Massachusetts Institute of Technology (MIT, USA), and BS in Chemical Engineering in 2013 from the University of British Columbia (UBC, Canada). He held the Postgraduate Fellowship from the Natural Sciences and Engineering Research Council of Canada from 2017-2020 and received research awards from the Tokyo Institute of Technology in 2017, Oak Ridge National Laboratory in 2016, and American Nuclear Society in 2016. His work includes the development of new computational tools to improve fundamental understanding of material properties, increase the prediction accuracy of simulations, and accelerate materials development. His ongoing research activities include the study of materials used in energy applications such as batteries, fuel cells, and advanced nuclear reactors. Dr. Lam has work experience in the petroleum and chemical processing industries and is a licensed Professional Engineer in Canada.
Assistant Professor (09/2020-present), University of Massachusetts Lowell, Department of Chemical Engineering
Research Assistant (09/2015-09/2020), Massachusetts Institute of Technology, Department of Nuclear Science and Engineering
Computational Material Scientist (05/2018-09/2018), Robert Bosch, LLC
Facilities Engineer (08/2013-08/2015) Imperial Oil Resources, ExxonMobil Corporation
Continuous Improvement Specialist (05/2012-09/2012), Imperial Oil Resources, ExxonMobil Corporation
Process Engineer (01/2012-05/2012), Chemetics Inc., Jacobs Engineering Company
Transport Phenomena (Spring 2021): This course introduces the theory and mechanisms of transport processes based on the conservation laws at both micro and macroscopic levels. Mechanisms for momentum, heat and mass transfer for both laminar and turbulent flow conditions are covered using integral and differential approaches. Practical applications of the theory will be explored.
Areas: Numerical methods, materials science and engineering, atomistic simulation, computational science and engineering, applied machine learning, nuclear engineering, thermodynamics and electrochemistry.