Tony Smith Email & Phone Number

Albuquerque, New Mexico, United States

Kwajalein Atoll, Marshall Islands

• On site at the Regan Ballistic Missile Defense Test Site (RTS) in the beautiful Kwajalein Atoll, Republic of the Marshall Islands.
• Integrated, tested, and debugged updates to the RTS radar control program (C, C++, Python, Linux, VxWorks), enabling live testing of a newly implemented tracking algorithm.
• Maintained the radar calibrations code base (Matlab), which quantifies tracking accuracy and facilitates root cause analysis troubleshooting for key sensors at RTS. Upgraded the code from Matlab 2011 to Matlab 2021.
• Developed a radar track comparison application (Matlab, MySQL), allowing direct comparison of apparent target location between multiple sensors. Serves as a system-level test and calibration tool to uncover local or.
• Developed and deployed a web app (Python: Flask, Folium; PostgreSQL; Docker) to display the predicted (simulated) flight path of a weather balloon carrying a radar calibration sphere. Assisted radar operators in.
• Conducted feasibility studies to determine whether customer requests could be fulfilled by RTS radars, including through the use of modified radar control software.

San Francisco Bay Area

• Data Scientist and Simulation Specialist on assignment at Loon LLC (TVC at Alphabet). Loon provided cellular service in rural/developing areas via stratospheric balloons.
• Ran and analyzed simulations to address critical business questions (impact in the millions of dollars) about expected service availability, number of balloons needed to meet service requirements, optimal flight paths.
• Developed software to enable internal business and technical users to explore, visualize, analyze, and debug simulation output (Python: Pandas, Numpy, Scipy; Bigquery; Google Colab). Examples:
• Display predicted service by region, month, balloon type, and fleet size, allowing estimation of cost per person-hour served, feasibility of service in a given region and season, etc.
• Make statistical comparisons between simulation output and real flight data to assess simulation accuracy, e.g. power consumption, amount of time spent steering, etc.
• Developed a new metric for tracking and optimizing service during unfavorable wind conditions.

• Utilized open-source (Python: Pandas, scikit-learn, Jupyter Notebook) and commercial tools (Teradata) to address business problems across a variety of domains, including:
• Risk modeling for healthcare, identifying high-risk patients in hospitals or private practices for preventative intervention
• Predictive maintenance for manufacturing and utilities, monitoring machine “health” and prioritizing assets for inspection and repair
• Customer segmentation and campaign attribution for marketing, improving targeted advertising to reduce customer churn
• Regulatory compliance for mortgage lending, using machine learning to identify possible violations in loan paperwork to avoid federal fines

London, United Kingdom

Internship with Growth Intelligence, a London-based startup that delivers predictive marketing software-as-a-service tools to identify new marketing leads. Applied natural language processing, machine learning, and rules-based methods to improve classification of UK businesses according to client type, enhancing marketing lead recommendations. Technologies.

Greater Los Angeles Area

• Used advanced mathematical and statistical methods in scientific research, including optimization techniques, Monte Carlo simulations, simulated annealing, and principal component analysis.
• Wrote scripts in Perl, Python, and Linux shell to parse, analyze, manipulate, manage, and store data.
• Developed a GUI in Perl/Tk to aid in the creation of input files for an in-house computational chemistry code. Improved user experience and significantly reduced time required to set up calculations.
• Wrote reports and articles for publication in scientific journals. Presented research findings on a weekly basis before a diverse group of collaborators to help determine project direction.
• Scientific emphasis: computational drug design, in silico lead optimization, molecular dynamics simulations, density functional theory, QM/MM multiscale methods, artificial enzyme design, reaction mechanisms.

Ames, IA

• Developed code for the GAMESS computational chemistry package, a large, robust, open source software program for calculating molecular properties using quantum chemistry methods.
• Derived mathematical formulae, developed algorithms, implemented code for the calculation of intermolecular interactions.
• Scientific emphasis: explicit solvent models, intermolecular interactions, ab initio electronic structure methods.Technologies used: FORTRAN 77, FORTRAN 90, Linux

Ames, IA

Primary instructor for General Chemistry for Engineering Majors lecture and lab, approx. 150 students. Integrated instant response technology (Clickers) into the curriculum.

Doctor Of Philosophy (Ph.D.), Physical Chemistry

Activities and Societies: Preparing Future Faculty program, 2007-2008

Bachelor Of Science (Bs), Chemistry, Mathematics