Developing and maintaining front-end processing of both silicon and HgCdTe FPA detectors for various space-based sensing applications.

• Performing process steps for lithography, wet etching, and deposition from bare wafer to patterned devices in cleanroom. • Verifying performance through metrology with ellipsometers, wafer probes, optical microscopy, and bench testing.• Evaluating properties of MOSFETS, bipolar junction transistors, and Schottky diodes using DC and RF device modeling.• Complying with strict protocol regarding safe handling of chemicals and equipment, including storage and purchasing.

Graduate student at University of Illinois Urbana-Champaign in the Materials Science and Engineering department. Part of Daniel Shoemaker's research team studying electronic and magnetic materials. Growing crystals, modeling atomic structures, Czochralski pulling magnetic materials.▪ Multitasking and problem-solving multiple team-based projects regarding electronic, magnetic, and optical materials.▪ Collaborated as lead author with multiple cross-functional teams to assemble atomic lattice data into published manuscript.▪ Characterizing chemical purity and structure of magnetic data storage materials with electron imaging.▪ Conducted new system evaluation for Czochralski furnace, troubleshooting and writing operating procedures for training.▪ Synthesized inorganic crystals for quantum information storage through hydrothermal processes.

In conjunction with the Illinois Materials Research Science and Engineering Center at the University of Illinois. • Oversaw training for visiting intern on laboratory procedures and data analytics, gaining leadership and mentorship skills.• Guided student through project developing materials synthesis techniques, teaching experimental design.• Advised on communication for scientific presentation and writing for increased confidence and clarity.

Studied efficiency of thermoelectric devices using neutron scattering and muon spectroscopy techniques. Responsible for developing Python packages to analyze experimental data and extract physically relevant information about structure and magnetism.• Investigated magnetic material structures with hands-on use of Oak Ridge Lab neutron equipment and Python algorithms.• Demonstrated directional variation in thermoelectric device efficiency with Python models, with implications for environmentally friendly energy conversion technology.• Built Python code for slicing and presenting any 3D dataset, published and part of open source Diffpy scattering package.• Monitored Canadian TRIUMF beam equipment remotely, collecting data for alternative fuel sources for nuclear reactors.• Delivered verbal presentations at Amer. Physics Society and Crystallographic Association meetings, awarded Poster Prize.

• Instructed daily lectures of 20+ students in engineering mechanics, driving student understanding of difficult topics.• Provided tailored one-on-one tutoring in two engineering math courses, improving individual student success.

Research group focused on the collection of photometric and spectroscopic data from brown dwarf and transiting planet systems. We use such data to analyze peculiarities in evolution, and determine whether further research would be beneficial.▪ Contributed to the reduction and analysis of varied data using several different UNIX and Python-based astronomy packages.▪ Hands-on experience with Orson Pratt Observatory robotic telescopes, including the set-up, operation, and take-down procedures.▪ Utilized Gemini’s newest data reduction platform, DRAGONS, to reduce brown dwarf archival data. Created tutorial videos and documents to drive the learning process of other students.

• Bolstered team-coding skills by Python model development for simulating viruses on cell membranes in group project.• Assimilated expert knowledge and guidance in computational analysis for materials in C++, Python, and Fortran.• Utilized bridges-2 supercomputer for molecular dynamics, gaining experience in high-performance computing workflows.