Experience

NetMath

• United States
• E-Learning Providers
• 1 - 100 Employee

• Assistant Director, Instructional Technology

  • Jul 2017 - Present

  -Helped create the TestBank system, now used by NetMath to automatically generate relevant, unique exams and problem sets, and learns it's own problem selection algorithm based on user feedback.-Largely developed and oversaw the deployment of CAS-ILE, NetMath's interactive code-based math learning system, written in JS, C#, and Mathematica.-Automated several administrative tasks (courseware enrollment, status change, email updates, etc.) through the CAS-ILE… -Helped create the TestBank system, now used by NetMath to automatically generate relevant, unique exams and problem sets, and learns it's own problem selection algorithm based on user feedback.-Largely developed and oversaw the deployment of CAS-ILE, NetMath's interactive code-based math learning system, written in JS, C#, and Mathematica.-Automated several administrative tasks (courseware enrollment, status change, email updates, etc.) through the CAS-ILE api-Developing new client-side JavaScript framework to smoothly render highly interactive, visually compelling math demonstrations in the Mathable courseware app. Show more Show less



Wolfram

• Software Development

• Senior Math Content Developer

  • Jun 2015 - Jun 2017

• Math Content Developer

  • Dec 2012 - Jun 2015



University of Illinois at Urbana-Champaign

• Higher Education
• 1 - 100 Employee

• Graduate Teaching Assistant

  • Sep 2008 - May 2011

  -Taught both standalone classes and recitation sections of Calculus I-III.-Created interactive visualizations, exercises, and other content for UIUC's Calculus & Mathematica sequence as well as for my own classes.



Chemsensing Inc

• United States
• Chemical Manufacturing

• Data Scientist

  • May 2005 - Sep 2008

  -Designed and implemented neural networks, statistical classifiers, and other learning algorithms to enable ChemSensing's “smell-seeing” device to interpret the highly volatile and multidimensional dynamics of various arrays of aroma-sensitive colorimetric dyes.-Successfully trained the device to rapidly detect, identify, and quantify various types of aromatic compounds, such as toxic industrial chemicals or the metabolites of various bacteria in septic blood, and to dynamically… -Designed and implemented neural networks, statistical classifiers, and other learning algorithms to enable ChemSensing's “smell-seeing” device to interpret the highly volatile and multidimensional dynamics of various arrays of aroma-sensitive colorimetric dyes.-Successfully trained the device to rapidly detect, identify, and quantify various types of aromatic compounds, such as toxic industrial chemicals or the metabolites of various bacteria in septic blood, and to dynamically evaluate its initial judgments as it collected more data.-Used unsupervised dimensionality reduction techniques and outlier detection to avoid overfitting the algorithm, even to noisy and/or highly underdetermined sets of training data.-Led the team of engineers which embedded purpose-trained classifiers into microcontrollers for specific medical and industrial deployments.-Conducted and later supervised the analysis of experiments, and prepared visualizations of the device's "olfaction" and identification of analytes for scientists, investors, and journal articles. Show more Show less