Resume


HOW I WANT TO CONTRIBUTE
I want to work for a company committed to creating innovating solutions to challenging, important problems. I thrive in multi-disciplinary environments that allow me to combine my wide experience in data collection, computer vision, and data analytics. I'm looking to join a collaborative team that supports creativity,  self-motivation, solution-oriented thinking, and growth. With my background in academics and industry, I will make meaningful advancements in fundamental research while rapidly developing customer-oriented products at your company.


I'm currently looking for a position at a company located in the Portland, OR metropolitan area.

SUMMARY>
Project Management: DOD acquisition programs, Navy SBIRs
Research Areas: Remote sensing in EO/IR arrays, radar, spectroscopy, image processing, machine learning. data analytics, planetary science
Scientific Computing: Python, Matlab, IDL, C/C++, Bash scripting, cluster/batch processing.
Sensor Systems:
- Intelligence, surveillance, and reconnaissance (ISR) tactical systems (Arete ́ Associates)
- Wide Field MWIR/LWIR Imaging (Arete Associates airborne sensor system)
- Optical & Infrared Spectroscopy, AO Imaging (W.M. Keck Observatory, Palomar Observatory) - Synthetic Aperture Radio Imaging (MERLIN Array)
Certifications:
- DOD TS Clearance, SSBI- Renewed 6/2013; SCI TS submitted
- Certificate in Performance Management, UC Irvine 1/2013
- Aircraft underwater ditch training and open water survival 8/2009


EDUCATIONPh.D. in Planetary Sciences. California Institute of Technology. 2008
Thesis: Surface Properties of Kuiper Belt Objects and Centaurs. 
B.A. in Physics, Reed College. 2003
Thesis: Small Scale Structures in the Interstellar Medium. 2003


PROFESSIONAL EXPERIENCE
Senior Scientist, Arete Associates
6/2013 - current
Manage product teams to deliver innovative remote sensing algorithms to meet national security needs. Led fundamental research efforts, generated funding proposals, designed product solutions, interfaced with customers, and managed deliverables.
  • Awarded Phase I Naval SBIR. As Principle Investigator, delivered software product to automatically detect and track aircraft in next generation submarine periscope EO/IR imagery with minimal false alarms. Leveraged Bayesian-based signal extraction and tracking algorithms to detect low SNR tar- gets in large image data. Led development team (3 members) to a successful demonstration of Phase I algorithm solution resulting in a Phase II contract.

  • Lead Investigator for multi-year contract to reduce false alarms (5-10 members) in ISR DoD acquisition program. Conducted basic research and analysis using machine learning techniques including Bayesian Belief Networks and Random Forests. Identified development path to reach sys- tem requirements. Supervised an integrated team of scientists and engineers to transition algorithms to products. Delivered key technology elements exceeding requirements and under budget.

  • Lead IR&D effort to complete an end-to-end capability to automatically detect aircraft in GeoEye Ikonos satellite data. Effort compared performance capabilities of machine learning algorithms and developed an event analysis GUI and data analytics capability designed for rapid, ergonomic evalu- ation of outputs (2 members).

  • Designedanddirectedresearchprojectforsummerinternprogramtoinvestigateadvancedimagede- convolution technique. Demonstrated a substantial improvement in image quality (NIIRS standard) over standard techniques in synthesizing imagery from multiple looks. 

Staff Scientist, Arete Associates 2/2008 - 6/2013
Developed algorithms to extract signals from remote sensing systems using data analysis and physical modeling. Conducted fundamental research in image processing. Delivered algorithms, production code, technical briefings and documentation.
  • Used physical and data-driven models to develop Bayesian-based detection and tracking algorithms for targets of interest in marine aerial surveillance EO video and vehicle-mounted dual layered IR video systems.

  • Conducted fundamental research for novel imaging systems and hyperspectral imaging utilizing en- coded apertures, compressive sampling, image correction, and computational imaging techniques. Algorithms designed to reduce noise, improve resolution and enhance interpretability.

  • Applied machine learning techniques such as Gaussian Mixture Models and Support Vector Machines to reduce false alarms in detection systems producing large data sets. Discovered additional metrics using image segmentation, texture analysis, template matching and temporal filtering to boost performance of ISR systems.

  • Analyzed and quantified detection performance statistics on test data, identified algorithm failure modes, and generated reports for delivered documentation on ISR systems.

  • Operated experimental MWIR and LWIR camera systems from fixed-wing small aircraft at high alti- tude for marine and littoral zone environmental studies.