(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/andrew-ganse

Key Skills Summary

• PhD geophysics, 20+ years experience developing advanced statistical and numerical analysis algorithms.
• Expertise in deep learning and other machine learning, inverse problems, statistical analysis including Bayesian inference.
• Technical project management experience in multiple concurrent projects, using Agile methods, Jira, Trello, Gannt charts.
• Architecting, programming, and leading build-out and analyses in Python, Matlab, SQL, C, Bash, some R, some Java, Linux admin, AWS EC2, Git.
• Experience in government research programs, soft-money academia (grants and contracts), and multiple commercial startups.
• Strong communication skills via public speaking, technical writing, project management, mentoring of junior staff.

Professional Experience

Radar Data Scientist, Radar Sciences R&D Team, Echodyne Corp, Bellevue, WA. Dec 2017 – present.
        — Project lead for deep learning projects in detection and classification on radar data for drone, security, and automotive problems - supervised learning, reinforcement learning, Keras, Tensorflow, Titan V's.
— Lead of field-test data team, analyzing the dynamic behavior of radar control systems and characterizing performance of target detection, target tracking, and clutter-rejection algorithms using Python/Pandas and Matlab.
— Designed and led build-out of a relational database system for statistical analysis of field test datasets, using PostgreSQL and Python.
— Technical management of groups of 3-5 people per project in multiple concurrent projects; mentoring of interns and junior staff; co-organizer of company's intern program; advising coworkers on use of git, python environments, and Linux system administration.

Principal Scientist & Owner, Anseres Research & Technology LLC, Kenmore, WA. Sept 2016 – present.
        — Scientific research consulting in defense, geophysical, and space science applications.
— Completed multiple federal R&D subcontracts building on my earlier research in statistical inference for remote sensing problems.
— Led SBIR submission on Deep Learning for Clutter Reduction in [Sonar Systems], with university collaborators.
— Internal R&D predicting estuarine salinity profiles from electric field data using TensorFlow neural networks.

Data Scientist, Spare5 (now Mighty AI), Seattle, WA. Jan 2016 – June 2016.
        — Designed and built out machine learning algorithms for data quality assessment and user reputation evaluation on Spare5's intelligent crowdsourcing platform.
— Innovated in the use of probabilistic classifiers, expectation maximization, word2vec, in R/Rserve, Python/Pandas, PostgreSQL.
— Engaged in press/analyst briefings, meetings with customers, and public presentations (including Datapalooza).

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 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 an Oracle database of commercial fishing in western U.S.
— Provided expertise in Oracle, SQL, UNIX 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).


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.

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 – present.
Presenting exciting science talks to school groups of 20-100 children, ages 4-18, both at UW and in classrooms.

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.

• 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.