Summary
Shenyi Dai is a Water/Wastewater EIT at HDR with a strong foundation in chemical and environmental engineering and a recent M.S. in Environmental and Water Resources Engineering from UT Austin. Her research blends experiments and numerical modeling to quantify abiotic transformation kinetics of contaminants like TCE in low-permeability zones, pairing analytical techniques (HPLC, GC) with CrunchTope and MATLAB. She has hands-on lab experience in advanced water chemistry and electrocatalysis—from measuring iron-mediated radical production to developing phosphorus-doped nickel for ammonia electrosynthesis with high faradaic efficiency. Based in Dallas with a decade of professional experience, she focuses on practical remediation and water quality solutions that benefit communities. She values cross-disciplinary collaboration and continuous learning, often translating detailed lab findings into actionable modeling insights. Outside typical engineering roles, she maintains a public-facing presence (e.g., a Chinese-language WeChat account), signaling engagement beyond academia and consulting.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Environmental/Environmental Health Engineering, Master of Science - MS, Environmental/Environmental Health Engineering at The University of Texas at Austin
Bachelor of Engineering - BE, Chemical Engineering, Bachelor of Engineering - BE, Chemical Engineering at McGill University
English, Chinese, wu, French