Ben Schweitzer Email & Phone Number
@epic.com
1 phone found area 605
LinkedIn matched
Who is Ben Schweitzer? Overview
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Ben Schweitzer is listed as Technical Solutions Engineer at Epic, a with 16403 employees, based in Greater Madison Area, United States. AeroLeads shows a work email signal at epic.com, phone signal with area code 605, and a matched LinkedIn profile for Ben Schweitzer.
Ben Schweitzer previously worked as Graduate Student Researcher at Colorado School Of Mines and Teaching Assistant at Colorado School Of Mines. Ben Schweitzer holds Master Of Science - Ms, Chemical Engineering, Gpa: 3.4 from Colorado School Of Mines.
Email format at Epic
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AeroLeads found 1 current-domain work email signal for Ben Schweitzer. Compare company email patterns before reaching out.
About Ben Schweitzer
Ben Schweitzer is a Technical Solutions Engineer at Epic. He possess expertise in chemical engineering, molecular modeling, monte carlo simulation, visual basic, microsoft excel and 17 more skills. Colleagues describe him as "I met Ben studying Chemical Engineering at the South Dakota school of Mines and Technology. We were in several classes together. Ben always seemed to have an expert grasp on whatever material we were studying. He would answer the professor’s questions, and ask his own relevant questions. Ben was always willing to take the time to explain course information to classmates that were struggling to understand the curriculum ."
Listed skills include Chemical Engineering, Molecular Modeling, Monte Carlo Simulation, Visual Basic, and 18 others.
Ben Schweitzer's current company
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Ben Schweitzer work experience
A career timeline built from the work history available for this profile.
Technical Solutions Engineer
Technical Solutions Engineer
Graduate Student Researcher
Studied hydrogen storage and catalysis in Metal Organic Frameworks (MOFs) We performed a high throughput study of hydrogen storage materials to quantify design targets for the next generation of hydrogen storage materials. We assembled and simulated hydrogen storage in thousands of hypothetical MOFs. From this we trained a neural network capable of predicting hydrogen loadings at multiple T, P conditions by utilizing simple material properties as input. With this neural network, we found that the storage pressure of these hydrogen storage systems can likely be decreased by as much as 3 times with only a 3% loss in performance. Additionally, we characterized the interfaces of MOF-Nanoparticle catalysts using density functional theory. We screened hundreds of candidate surfaces to determine changes in the electronic structure of the catalyst as well as utilizing existing correlations to quantify changes in catalytic activity. Skills• Data analysis in R, Python and Excel• Machine learning with Keras/TensorFlow in R• Simulation and programming in Linux high performance computing environments with Python and Fortran• Mentorship of undergraduate researchers
Teaching Assistant
Assisted in Studio Biology, Numerical Methods and Reactor Kinetics.Being a TA involves more than just grading papers. Engaging with student in an active learning environment requires a lot of problem solving in reverse: identify the problem, a solution, and giving the students just enough information to come to the answer themselves. By practicing this, I greatly improved my critical thinking (and debugging) skills.
Engineering Intern
I worked on the development of ion exchange separations for applications of dialysis. I developed and built the experimental setup including a rework of the existing data acquisition system in Labview. My day to day work involved performing experiments and analysis as well as technical reporting to my mentors and management. In that time, I was able to evaluate the material performance and characterize the operational limits of the device.
Laboratory And Operations Intern
My work was focused on the propagation of genetically modified yeast to produce ethanol from cellulosic feedstock. I developed and carried out sampling and testing procedures in a fast-paced process environment. To that end I was also involved in data management and basic analysis.
Colleagues at Epic
Other employees you can reach at epic.com. View company contacts for 16403 employees →
Kieran Thompson
Colleague at EpicVerona, Wisconsin, United States
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James Michaels
Colleague at EpicUnited States
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Epic Alfu
Colleague at EpicJakarta, Indonesia
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Ravi Kalyan Bhakat
Colleague at EpicVerona, Wisconsin, United States
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Sydney Maloney
Colleague at EpicMadison, Wisconsin, United States
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Michael Lawrence
Colleague at EpicMadison, Wisconsin, United States
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Connor Truelson
Colleague at EpicMadison, Wisconsin, United States
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Jacob Daugherty
Colleague at EpicMadison, Wisconsin, United States
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Samantha Lavin
Colleague at EpicMadison, Wisconsin, United States
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JM
Jared Mcmillan
Colleague at EpicRomeo, Michigan, United States
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Ben Schweitzer education
Master Of Science - Ms, Chemical Engineering, Gpa: 3.4
Master'S Degree, Chemical Engineering, Gpa: 3.5
Bachelor'S Degree, Chemical Engineering, Gpa: 3.3
Frequently asked questions about Ben Schweitzer
Quick answers generated from the profile data available on this page.
What company does Ben Schweitzer work for?
Ben Schweitzer works for Epic.
What is Ben Schweitzer's role at Epic?
Ben Schweitzer is listed as Technical Solutions Engineer at Epic.
What is Ben Schweitzer's email address?
AeroLeads has found 1 work email signal at @epic.com for Ben Schweitzer at Epic.
What is Ben Schweitzer's phone number?
AeroLeads has found 1 phone signal(s) with area code 605 for Ben Schweitzer at Epic.
Where is Ben Schweitzer based?
Ben Schweitzer is based in Greater Madison Area, United States while working with Epic.
What companies has Ben Schweitzer worked for?
Ben Schweitzer has worked for Epic, Colorado School Of Mines, Medtronic, and Blue Sugars Corporation.
Who are Ben Schweitzer's colleagues at Epic?
Ben Schweitzer's colleagues at Epic include Kieran Thompson, James Michaels, Epic Alfu, Ravi Kalyan Bhakat, and Sydney Maloney.
How can I contact Ben Schweitzer?
You can use AeroLeads to view verified contact signals for Ben Schweitzer at Epic, including work email, phone, and LinkedIn data when available.
What schools did Ben Schweitzer attend?
Ben Schweitzer holds Master Of Science - Ms, Chemical Engineering, Gpa: 3.4 from Colorado School Of Mines.
What skills is Ben Schweitzer known for?
Ben Schweitzer is listed with skills including Chemical Engineering, Molecular Modeling, Monte Carlo Simulation, Visual Basic, Microsoft Excel, Aspen Plus, Chemistry, and Engineering.
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