2022

Laurent Simon

Professor of Chemical Engineering and Vice Provost for Undergrad Studies, New Jersey Institute of Technology

Areas: Biomedical Research, Chemical Engineering, Computational Thinking, Pharmaceutical, Research and Analysis

Laurent Simon is a professor of chemical engineering and the vice provost for undergraduate studies at the New Jersey Institute of Technology.

Simon’s current research focuses on transdermal drug delivery, protein purification, process modeling and control; these projects involve writing Wolfram Language code that is instrumental in building population pharmacokinetic/pharmacodynamic models and designing transdermal drug-delivery systems. These same research tools, deployed with webMathematica, are now used to enhance chemical engineering curricula with applications in biological engineering.

2020

Dr. Kenneth Bogen

Areas: Biomedical Research, Chemical Engineering, Environmental Engineering, Molecular Biology, Risk Analysis

Kenneth T. Bogen, DrPH, DABT, is a nationally recognized, board-certified consulting toxicologist and former University of California environmental scientist who has done extensive work in environmental health risk assessment, with over one hundred published (including award-winning) scientific journal publications in the field. Since 1988, he has developed RiskQ, a comprehensive package for efficient, symbolic, documented statistical and data analysis in the Wolfram Language. Dr. Bogen has used RiskQ and Mathematica in a broad range of research and applied assessment topics including zinc-ion diffusion and cytotoxicity in the nasal cavity, nickel biokinetic modeling, multi-route exposure assessment, biologically based and mode-of-action-informed cancer risk modeling, physiologically based organophosphate pharmacokinetic/pharmacodynamic modeling, and applications of environmental, occupational and consumer product-related toxicology and epidemiology.

2020

Gustavo Restrepo

Exergétika Bogotá

Areas: Chemical Engineering, Energy Engineering, Fluid Dynamics, Industrial Engineering Economics, System Modeling, Systems Engineering

Gustavo Restrepo is a chemical engineer and entrepreneur who has used Wolfram technology extensively in the energy industry. During his PhD studies in industrial thermal engineering, he used Mathematica to model a thermochemical heat recuperation system to optimize energy efficiency. Working as a process engineer, he used Mathematica for many optimization problems involving separation vessels, heat transfer systems and heavy oil transport. In 2017, he cofounded Exergétika, where he is developing a Wolfram System Modeler package with hydrodynamic components for modeling networks and associated control loops, among other applications, to implement computational thinking in engineering.

2017

Andrew Yule

Flow Assurance Specialist, Assured Flow Solutions

Areas: Authoring and Publishing, Chemical Engineering, Data Analytics, Fluid Dynamics

Andrew Yule is a flow assurance specialist at Assured Flow Solutions who developed an internal toolkit written entirely using the Wolfram Language and deployed it to his colleagues through EnterpriseCDF. Containing over 40 different calculations and workflows that are used daily throughout the company, this toolkit centralized Assured Flow Solutions utilities and has completely changed the way the entire organization views data analytics and visualizations. He also uses the Wolfram Cloud to deploy APIs that run calculations as a back end to Visual Basic UIs.

2015

Kale Wallace

District Engineer, Samson Energy

Areas: Chemical Engineering, Image Processing

Kale Wallace first started using Mathematica in university courses and has since used it in his work at Southwestern Energy and Samson Energy for data handling and image processing. At Southwestern Energy, Wallace built a well productivity prediction model analyzing millions of lines of data and using machine learning to predict well performance based on drilling and completion parameters. He has also created field-development visualizations showing wells brought online and their corresponding production and cashflow. His replication of the ARIES economics engine in Mathematica allowed probabilistic (Monte Carlo) economics methods, full-field development scenarios, break-even calculations, and go-forward recommendations to be evaluated much more quickly than could be done in ARIES.

2013

Stefan Braun

Managing Director of SmartCAE

Areas: Aerospace, Biotechnology, Chemical Engineering, Control, Data Mining and Analysis, Engineering, Finance, Financial Risk, High-Performance and Parallel Computing, Image Processing, Industrial Engineering, Interface Design, Materials Science, Mathematica Consulting, Mechanical Engineering, Pharmaceutical, Physics, Risk Analysis, Signal Processing, Structural Engineering

Stefan Braun is recognized for using Mathematica in industrial applications. He has used Mathematica and the SmartCAEFab in more that 150+ industrial projects in different application areas. SmartCAE’s software solutions allow practical users to simulate complex applications problems, with a lot of parameters, without being a simulation or Mathematica expert.

2011

Ronald Kurnik

Roche Molecular Systems

Areas: Chemical Engineering, Image Processing, Pharmaceutical, Signal Processing

Chemical engineer Ronald Kurnik develops medical devices, using Mathematica for rapid prototyping of algorithms for signal and image processing and for quantitative chemical reaction modeling. His work has led Roche to file for 15 patents, 7 of which have been issued so far.