Thomas K. Baldwin Curriculum Vitae

• Developed and deployed models for a major personalized marketing program, including: Uplift optimization trees (causal forests), Bayesian transaction count models, anomaly detection, Prophet time series forecasting.
• Contributed major development of a client's custom uplift modeling library: API design, code packaging/distribution, PySpark integration, and runtime performance optimizations to reduce cloud resource consumption by 10-100x.
• Led development of MLflow-based toolchain for automatic model training and scoring. Improved visibility into model performance and unlocked 4x faster iteration by reducing operator effort.
• Implemented simulation framework for offline testing of reinforcement learning models using Ray-based parallelism.
• Designed and conducted real-world tests to measure campaign performance and generate training data for optimization models.
• Built and maintained automatic weekly campaign reporting solution for a large customer loyalty program. Distilled terabyte-scale raw data inputs to rich interactive Tableau dashboards using Spark SQL and Airflow.
• Conducted ad hoc analyses for business stakeholders. Including dataset creation, formulating new KPIs, visualizing and presenting findings.

• Taught two sections of calculus-based physics:
  • PH 211 (F16+W17, 10 credit hours): Nature of science, mathematical representation, classical Newtonian mechanics, energy and momentum. With lab.
• Taught two courses in conceptual physics for non-majors:
  • PH 101 (F16, 4 credit hours): Data analysis, laws of motion, momentum, energy, gravity. With lab.
  • PH 103 (S17, 4 credit hours): Atomic physics, quantum mechanics, nuclear physics, special and general relativity, astrophysics. With lab.
• Participated in faculty seminar on the Scholarship of Teaching and Learning (S17). With Dennis Gilbert.

• Updated a LIDAR model for a local optics company.
• Researched and applied methods to account for pulse stretching induced by forward light scattering in seawater.
• Translated model code from MATLAB to Python.

• Created Snotelier, a site implementing automated avalanche danger summaries for climbers and backcountry skiers.
• Built dataset in PostgreSQL by scraping data from Northwest Avalanche Center website and combining with USDA snow telemetry (SNOTEL) measurements available via public API.
• Engineered features and fit a logistic regression model to predict avalanche danger using pandas and scikit-learn.
• Implemented web app based on Flask, Bootstrap, and the Google Maps API.
• Project completed in less than three weeks.

Adviser: Hailin Wang.

• Primary project: investigating interlayer exciton-correlated hole tunneling in Gallium Arsenide (GaAs) mixed-type quantum well (MTQW) structures at high magnetic fields.
• Side project: Diamond nitrogen-vacancy (NV) centers as a quantum bit candidate. Ion implantation and annealing, imaging of single emitters using homebuilt confocal microscope, manipulation of ground state spin using microwaves, excited-state spectroscopy at cryogenic temperatures, photon antibunching.
• Pump-probe spectroscopy of excitons, trions, and biexcitons in semiconductor quantum wells (GaAs, CdTe) and Bragg microcavities.
• Developed pulse shaper based on a phase-only spatial light modulator (SLM), with protection system based on BBO crystal frequency doubling.
• Two-time high-field user at National High Magnetic Field Laboratory, Tallahassee, FL. Operated 25T Split-Florida Helix at cryogenic temperatures, in both Voigt and Faraday geometries.
• Numerical modeling of NV centers (optical Bloch equation), microcavities (transfer matrix method), and valence subbands in GaAs quantum wells (Luttinger-Kohn Hamiltonian) using Python and MATLAB.
• Developed Python-based data acquisition utilities: Instrument communication library, confocal microscope graphical user interface.

• Co-instructed PHYS 155, “Physics Behind the Internet”, a course for non-physics majors, in Fall 2015. With Eric Corwin.

• Piloted FOSS inquiry-based science curriculum in rural school districts (Boardman, Pendleton), grades 4-6. Daily team teaching during four 2-week stays as scientist in residence.
• Guest scientist, Crow Middle/High School (2011). Supervised students preparing for EWEB solar car challenge. Developed curriculum on solar spectrum and filter functions.
• Developed bicycle smoothie machine for Charlemagne Fox Hollow Elementary School, Eugene, OR. With Carrie Grabowski (2011, 2012, 2013, 2015).

• Instructed three sections of tutorial recitation for PHYS 201-203, a three-term course in algebra-based general physics (2009-2010).
• Grader for astronomy courses (2008-2009).
• Tutor in the physics drop-in help center.

Adviser: Kevin Silverman.

• Photoluminescence and annealing of self-assembled quantum dots.
• Translated data-acquisition programs from MATLAB to Python.

Adviser: Pavel Kabos.

• Finite-element modeling of a near-field microwave microscope using HFSS software.
• Characterization of carbon nanotube samples using this microscope.

• Helped students with calculus and linear algebra in the college math lab.

• Led weeklong first-year orientation (2005, 2007), weekend trips, and indoor rock climbing sessions.
• Activities Manager, Fall 2006.
• Climbing Manager, Fall 2007.

Adviser: Carlos Ruiz.

• Surveyed activation products using gamma spectroscopy.
• Fitting of neutron-yield data from nuclear fusion experiments.

Helped coordinate a monthly NumFOCUS-sponsored meetup series.

Support-level member.

Support-level member.

• Helped organize practice sessions in backcountry navigation, snow travel, and low-angle rope systems.
• Served on board of directors as training coordinator in 2017.