(resume in 2-page PDF file)

Andrew A. Ganse
andrew@ganse.org | http://research.ganse.org | https://github.com/aganse | https://www.linkedin.com/in/andy-ganse-57b75710

Key Skills Summary

• PhD geophysics, 16 years research experience developing advanced statistical and numerical analysis algorithms.
• Extensive experience in underwater/seafloor acoustics, also work in electromagnetism and spacecraft gravimetry.
• Recent experience in the commercial data science startup arena, focusing on probabilistic classifiers.
• Deep expertise in nonlinear regression, inverse problems, time-series analysis, and Bayesian inference.
• Programming: R, Python, Matlab, Java, C, Fortran, SQL; Linux admin, distributed computing of 1TB datasets.
• Strong interpersonal communication skills via public speaking, technical writing, and leading small groups.
• Positive, enthusiastic attitude even in stressful situations, flexible when plans change, willingness to learn.


Professional Experience

Principal Scientist & Founder, Anseres Research & Technology LLC, Kenmore, WA. Sept 2016 – present.
        — Scientific consulting and technology development in defense, environmental, and space applications. We apply our backgrounds in deep learning, probabilistic classifiers, tracking problems, inverse problems, sonar and ASW, ocean acoustics, geoacoustic inversion, and spacecraft gravity science to solve clients' research and development needs. We pursue federal, state, and local R&D contracts, SBIRs/STTRs, and collaborations with prime contractors and larger institutions.

Principal Data Scientist, Spare5, Seattle, WA. Jan 2016 – June 2016.
        — Designed and developed machine learning algorithms for data quality assessment and user reputation evaluation, automated fraud detection, and workflow optimization on Spare5's intelligent crowdsourcing platform.
— Innovated in the use of probabilistic classifiers, expectation maximization, word2vec for new applications.
— Implemented machine learning batch training and real-time predictions in R, Python, PostgreSQL.
— Researched new methods and tools, engaged the data science and machine learning community.

Senior Research Physicist, Acoustics Department, Applied Physics Laboratory, Seattle, WA. Aug 2013 – Nov 2015.
        — Planned research experiments, presented results at conferences, wrote proposals and reports to sponsors, interfaced with sponsors, wrote and reviewed research papers.
— Analyzed resolution of radio-science gravimetric sensing of icy moon features via proposed Europa Clipper spacecraft.
— Investigated controlled-source electromagnetic inverse problems to monitor salinity in sensitive estuarine ecologies.
— Solved nonlinear inversion and regression problems to track variations in ocean-scale salinity and sound-speed.
— Analyzed data and signal processing algorithms to identify known and unknown signals in a 1TB ocean acoustic dataset.
— Commercialized and organized technology transfer of a new APL-developed technology to a small business.

Research Physicist, Acoustics Department, Applied Physics Laboratory, Seattle, WA. Jun 2008 - Aug 2013.
        — Led system engineering and field efforts for an experimental “towed CTD chain” cabled instrument containing 90 sensors, managed teams of 2-6 others at a time in testing and operation of the system.
— Proposed (to NASA) radio-science gravimetric sensing of Europa’s ice features in unarchived Galileo spacecraft data.
— Developed non-parametric regressions, nonlinear predictive filtering, and exploratory data analyses to tune and validate the results of oceanographic and acoustic measurements containing noise and nuisance signals.
— Computed high-dimensional optimizations of calibration coefficients for this instrument to improve performance.
— Presented research results at conferences, contributed to proposals and reports to sponsors.

Research Engineer, Environmental and Information Systems, Applied Physics Laboratory, Seattle, WA. Apr 1999 - Jul 2008.
        Selected projects included:
— Quantified uncertainty and regularization of a multi-sensor/multi-vehicle nonlinear ocean geoacoustic inversion.
— Developed Markov Chain Monte Carlo inversion of ocean acoustic data via distributed computing on a Linux cluster.
— Computed clustering analysis of ocean sound-speed profiles to classify them by season and acoustic effects.
— Investigated alpha-stable (non-Gaussian) statistics in modeling of sea-surface radar backscatter.
— Managed two undergraduate student employees in scientific/statistical programming projects.

Oracle Database Programmer, Pacific Fisheries Information Network, Seattle, WA. 1998.
        Pacific States Marine Fisheries Commission, NOAA Western Regional Data Center.
Programmed data processing and extraction routines for a large-scale database of commercial fishing in the western U.S., on a UNIX / Oracle Server 7 platform. Provided Oracle, SQL, and UNIX expertise to two PSMFC agencies.

Computer consulting and contracting, Seattle, WA. Jan 1995 – Dec 1997.
        Contracts included Microsoft (software testing) and WA Mutual Bank (database developer and administrator).


Additional Experience

Recurring guest lecturer for graduate-level Inverse Theory class, University of Washington, 2008 – 2015.
Writing and teaching 1.5 hour lectures for graduate-level mathematical geophysics classes of ten students. Additionally developed the seven computational geophysics lab project assignments still used in this class.

Outreach talks and activities for elementary and secondary school groups, 1999 – 2015.
Presenting exciting science talks to school groups of 20-100 children, ages 4-18, both at UW and in classrooms.


Education

Ph.D. Geophysics, University of Washington, Seattle, WA. 2013.
Uncertainty and Resolution in Full-Wave Continuous Geoacoustic Inverse Problems, Advisor: Robert I. Odom
(Worked on PhD concurrently with independent, full-time, physicist/engineer positions at APL listed above; immediately promoted upon graduation.)

B.S. Electrical Engineering, University of Washington, Seattle, WA. 1994.
Signal processing, optimization, and electronic circuit design specialties. Senior projects: genetic algorithm optimization to find Barker-like radar phase codes; design of a data acquisition board for personal computer.


Recent Public Presentations

• Ganse, A.A., “Intelligent Crowdsourcing: Combining Machine Learning & Human Intelligence”, Data Analysis & Machine Learning Meetup Group, Seattle, 24 May 2016.

• Ganse, A.A., “Using Data Science in Space”, Seattle Data Science Meetup Group, Seattle, 25 April 2016.

• Ganse, A.A., “Combining Human Insights and Artificial Intelligence at Spare5”, Datapalooza, Seattle, 10-11 Feb 2016.

• Ganse, A.A., “An Overview of Bayesian Parameter Estimation and Inverse Problems”, guest lecture for graduate-level mathematical geophysics class ESS-523, Dept. of Earth & Space Sciences, University of Washington, 1 June 2015.


Awards / Service / Memberships

• Jan 2015 : Reviewer for Journal of the Acoustical Society of America.

• Dec 2014 : Recipient, competitive internal research and development funding award for Sigma Profiler mathematical analysis; Science & Engineering Group, Applied Physics Lab.

• Oct 2003 – Dec 2008 : Recipient, APL-UW Graduate Fellowship.

• Dec 2006 : 2nd Place, Best Student Paper Award in Underwater Acoustics, Fall 2006 conference of the Acoustical Society of America (ASA).

• June 2006 - Jan 2008 : Graduate student council representative for underwater acoustics in the Acoustical Society of America (ASA).

• May 2004 : Accepted to Mathematical Geophysics and Uncertainty in Earth Models summer program, Colorado School of Mines, Golden, CO.

• Mar 2003: 2003 University of Washington Distinguished Staff Award Nominee.

• Member, Acoustical Society of America (ASA).

• Member, American Geophysical Union (AGU).


Selected Publications

• Andrew, R.K., A.A. Ganse, A.W. White, J.A. Mercer, M.A. Dzieciuch, P.F. Worcester, “Low-frequency Pulse Propagation over 510 km in the Philippine Sea: A Comparison of Observed and Theoretical Pulse Spreading”, J. Acous. Soc. Am., 140, 1 (2016).

• Szuts, Z.B., T.B. Sanford, A.A. Ganse, N. Lauffenburger, Continuous Monitoring of Salinity Profiles from a Seafloor Instrument, Pacific Estuarine Research Society conference poster, Mar 2015.

Vance, S., J. Roberts, and A.A. Ganse. "Inverse Theory for Planning Gravity Investigations of Icy Moons." Abstract 2751, presented at the 46th Lunar and Planetary Science Conference, The Woodlands, TX. (2015).

Ganse A.A., S. Vance, and J. Roberts (2014), "Inverse theory resolution analysis in planning radio science gravity investigations of icy moons", Abstract P43C-3997 presented at 2014, Fall Meeting, AGU, San Francisco, CA, 15-19 December.

Ganse A.A., R.K. Andrew, F.S. Henyey, J.A. Mercer, P.F. Worcester, M.A. Dzieciuch, “Model and data comparisons of ocean acoustic intensity statistics in the Philippine Sea 2010 experiment”, J. Acoust. Soc. Am. 135 , 2306 (2014).

Ganse A.A., "Resolution analysis of the inverse problem for geoacoustic experiment design", J. Acoust. Soc. Am. 133, 3304 (2013).

• Odom, R.I. and A.A. Ganse, “The second order resolution operator of a nonlinear ocean acoustics inverse problem”, J. Acoust. Soc. Am. 125 , 2501 (2009).

Ganse A.A. and R.I. Odom, "Uncertainty and resolution in continuum inversion of ocean bottom geoacoustic properties”, J. Acoust. Soc. Am. 124, 2501 (2008).

Ganse A.A. and R.I. Odom, "Effects of model discretization on the statistics of model parameters in nonlinear inverse problems", J. Acoust. Soc. Am. 121, 3125 (2007).

Ganse A.A. and R.I. Odom (2006), "Higher Order Statistics for Nonlinear Inverse Problems via Analytical Methods", Eos Trans. AGU, 87(52), Fall Meet. Suppl., Abstract S42B-03.

Ganse A.A. and R.I. Odom (2005), "Application of nonlinear filters to geophysical inverse problems", Eos Trans. AGU, 86(52), Fall Meet. Suppl., Abstract NG23D-01.


Field Experience

• 2010 : Philippine Sea long-range ocean acoustic experiment cruise (UNOLS R/V Revelle), 5 weeks.

• 2009 : Philippine Sea long-range ocean acoustic engineering test cruise (UNOLS R/V Melville), 5 weeks.