Resume

Download this as a PDF file HERE.

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Mark Millonas, May 2020.

Boulder Creek, CA

millonasm@gmail.com, 831-246-0343, www.linkedin.com/in/markmillonas

Resume, CV and development portfolio: markmillonas.dev

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SUMMARY

I am primarily a physicist, but one with an extremely diverse range of experiences. Over my career I have worked on research programs in theoretical physics, nonlinear dynamics and complex systems, mathematical modeling and numerical methods for model-based inference, biomedical engineering, and experimental electrophysiology and molecular biology. I left pure research to try my hand in the private sector about a decade ago. Since then I founded one start-up, and and was Chief Scientist at another where I made use of my mathematical expertise in physics, algorithm development and time-series feature extraction, and my experimental experience in digital signal processing, numerical analysis and the design and construction of sensors and sensor networks.

I have taken several years off to follow some passions and bucket list projects. I’m looking for a job at the interface between the technology and research sectors, with an exciting team and a well-defined mission, where I can make full use of my experience in scientific software development, and wide toolset. 

EDUCATION 

PROFESSIONAL EXPERIENCES 

  • Chief Scientist, Broadband Discovery Systems, Inc., June 2010 – January, 2014. 
  • Founder/CTO, CardioPrint Biometrics, Inc., January 2007- December 2012. 
  • Co-Founder, White Raven Technologies, 2005-2008. 
  • Civil Servant (GS 15-4), NASA Ames Research Center, Computational Sciences Division, July 2001-June 2005. 
  • Assistant Professor, Department of Physics, Tulane University, July 1998-May 2001. 
  • Research Assistant Professor, Department of Pharmacology and Physiology, The University of Chicago, January 1998-June 1998. 
  • Research Associate (Instructor), Department of Pharmacology and Physiology, The University of Chicago, April 1997-December 1997. 
  • Research Associate, James Franck Institute, The University of Chicago, August 1995-April 1997. 
  • Assistant Professor for Research: ARL, Neural Systems, Memory and Aging, The University of Arizona, January 1995-April 1995. 
  • Postdoctoral Fellow: Complex Systems Group and Center for Nonlinear Studies, Theoretical Division, Los Alamos National Laboratory, September 1992-August 1995. 

 JOB SKILLS 

  • Trained in Theoretical Physics, with a specialization in Statistical Physics (Ph.D. 1992). Expertise in the mathematics of stochastic process and its use to design algorithms to infer underlying features from noisy data. 
  • Experience using machine learning techniques throughout career to do both model-based (bottom up) and heuristic (top down) model inference, both off-line, and in real time. 
  • More than a decade’s worth of experience doing electrophysiology: single cell patch clamp (1997-2001), then ECG and other devices (2001 to present).
  • Expertise in analog electrophysiological hardware design, and digital data acquisition and signal processing. 

 RELEVANT TECHNICAL EXPERTISE 

 Programming Experience

  • Python (2013 – present), include extensive experience with the Numpy and Matplotlib packages.
  • Matlab (1996 – present), includes experience using the Matlab Machine Learning and Statistics tooboxes. 
  • LabView (1999-present), includes real-time multichannel data collection, signal processing, and intelligent data assessment. 
  • C/C++ (1990 –present) 
  • Mathematica (1994-Present) 

Physics

  • Nonlinear dynamical systems and chaos.
  • Nonequilibrium statistical physics.

 Mathematics 

  • Expertise in stochastic process. Expertise in non-linear dynamics. 
  • Expertise in digital signal processing and analysis. 
  • Practical experience and expertise using machine learning techniques with multi-channel sensor data. 
  • Model inference and optimization from stochastic data.

 Biophysics 

  • Expertise in electrophysiology including both single cell electrophysiology, and ECG data acquisition. 

SOME ACHIEVEMENTS 

  • While Chief Scientist at Broadband Discovery Systems I developed the RONIN magnetic sensor net threat assessment system: a hybrid, model-based inference and machine learning threat (concealed IED, weapon, knife etc.) detection system that infers in real time an object’s location, size and tracking vector using scalable real-time vector magnetic sensor data from a many-channel sensor network.
  • For my startup, Cardioprint Biometrics, LLC, I Developed the CardioPrint biometric identification system: algorithms for an ECG-based biometric identification system. Used machine learning techniques to optimize identification algorithms over a large database of enrolled individuals. 
  • At the University of Chicago Medical school I developed novel experimental techniques and mathematical method for the analysis of ion channel gating kinetics.
  • With collaborators at NASA and elsewhere developed dynamical inference algorithms for the analysis of ecological data. 
  • While at NASA developed algorithms for real-time analysis of trunk and splanchnic blood-flow in patients with postural tachycardia syndrome (POTS) from impedance plethymography data, and further developed these techniques as a rapid, non-invasive, post-op warning system for use in military field hospitals. 
  • While at NASA designed and built minimal biometrics-based derived-lead ECG system for space flight cardiac monitoring: inferred 12-lead from 5-lead Holter system. 
  • While at NASA developed machine learning algorithms for programming and reconfiguring computational nano-devices based on randomly assembled molecular wire cross-bar memory arrays. 
  • While at NASA developed the concept, algorithmic design, and wrote preliminary software for a machine learning based automated air traffic control system.