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Eric Hoppmann

Whisker Labs Inc.
Data Scientist
Rockville, MD

GitHub

Education

University of Maryland 2008 to 2013

Ph.D., Bioengineering

James Madison University 2004 to 2008

Major: Physics
Minor: Mathematics, Astronomy

Experience

Whisker Labs Inc. September 2016 to Present

Lead Data Scientist

  • Time series signal processing + machine learning to identify electrical fire precursors and help prevent the most deadly type of home fire
  • Built AWS infrastructure for processing 100s of TB of raw binary sensor data for the purposes of algorithm development and validation
  • Algorithms development for disaggregating and diagnosing appliances from whole-home energy data

University of Maryland September 2017 to December 2018

Lecturer

  • Lecturer for a Python course I developed on programming and data analysis for juniors and seniors

Diagnostic anSERS Inc. March 2012 to November 2017

President
Acquired by Metrohm Raman, November 2017

  • Co-founder of startup commercializing trace chemical sensors for drugs, explosives, and pesticides
  • Led business and product development / commercialization
  • Negotiated six figure strategic partnership and mutual distribution agreement with leading equipment manufacturer
  • PI and Co-PI on grants totaling $675K
  • Developed in-house software for sensor data processing using R, Python, C#, and Bash

University of Maryland May 2009 - November 2013

Graduate Research Assistant

  • Developed novel paper-based DNA detection strip using SERS
  • Developed quantitative predictive models in R for spectroscopic data analysis using principal component regression (PCR) and partial least squares regression (PLSR)
  • TA for Control Theory and Bioimaging
  • Coursework in engineering, business and entrepreneurship
Recent Publications
  1. Eric P. Hoppmann and Brian C. Utter, Planar granular shear flow under external vibration, Physical Review E, 2017

  2. Wei W. Yu and Eric P. Hoppmann, Functionalized paper SERS (P-SERS) substrates for selective targeting of analytes in complex samples, In Proceedings of SPIE 9487, 2015.

  3. Eric P. Hoppmann, Wei. W. Yu, and Ian M. White, Detection of Deoxyribonucleic Acid (DNA) Targets Using Polymerase Chain Reaction (PCR) and Paper Surface Enhanced Raman Spectroscopy (SERS) Chromatography, Applied Spectroscopy, 68(8), 2014. Applied Spectroscopy. PDF. 1

  4. Eric P. Hoppmann, Wei. W. Yu, and Ian M. White, Inkjet-printed fluidic paper devices for chemical and biological analytics using surface enhanced Raman spectroscopy, IEEE Journal of Selected Topics in Quantum Electronics, 20(3), 2013 JSTQE. PDF.

  5. Eric P. Hoppmann, Wei. W. Yu, and Ian M. White, Highly sensitive and flexible inkjet printed SERS sensors on paper, Methods, 63(3), 219-224, 2013. Methods. PDF.

  6. Eric P. Hoppmann and Ian M. White, A paper-based inkjet-fabricated substrate for SERS detection and differentiation of PCR products, SPIE Defense, Security, and Sensing, 2013, Baltimore, MD.

1. This paper was published in Applied Spectroscopy and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://dx.doi.org/10.1366/14-07451. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.