Andrew Hanna

AI Researcher

Glendora, California, United States8 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in materials characterization and machine learning applications.
Proven track record in R&D and engineering in regulated environments.
Strong interdisciplinary collaboration and communication skills.

Stackforce AI infers this person is a Materials Science and Engineering expert with a focus on R&D and applied engineering.

Contact

Skills

Core Skills

Materials ScienceMachine LearningFront-end DevelopmentChemical Vapor Deposition (cvd)System Testing

Other Skills

Data AnalysisHTMLTechnical WritingAtomic Force Microscopy (AFM)DFTVASPCross-Cultural CommunicationInterdisciplinary CollaborationMedical ImagingQuality AssuranceMechanical Testing Of MaterialsNuclear Material HandlingMatplotlibScikit-LearnPandas

About

I am a materials science and engineering researcher with experience spanning experimental materials fabrication, characterization, and data-driven analysis in regulated and research-intensive environments. My background includes thin-film growth and transfer using CVD, materials characterization with Raman spectroscopy, SEM, AFM, and optical microscopy, as well as computational modeling and machine-learning-based analysis of materials behavior under thermal, stress, and irradiation conditions. In parallel with my research work, I have hands-on engineering experience supporting complex electromechanical systems in safety-critical settings, where I was responsible for system testing, verification, validation, and technical documentation. This combination of experimental research and applied engineering has shaped my approach to problem solving: grounded in fundamentals, careful with data, and focused on reliability and quality. My interests center on experimental and computational R&D, materials reliability, and mission-driven engineering work. I am motivated to contribute to organizations where rigorous engineering practices, collaboration, and long-term impact are central to the mission. I am always open to connecting with researchers and engineers working in experimental R&D, materials science, and national laboratory or advanced technology environments.

Experience

Tsinghua university

3 roles

FrontEnd Developer Intern

Sep 2025 – Dec 2025 · 3 mos

Applied the fundamental skills of engineering and problem solving to design and implement technical improvements on the consistency, experience, and message of the web presence of THU
Proofread technical, front-facing, and help documentation used for international users resulting in improved comprehensibility and user experience.
Tested and validated code using industry standard tools and version control systems
Collaborated with a multidisciplinary, multicultural, and multiethnic team of developers, designers, and IT staff to deliver web solutions for an international user base

Front-End DevelopmentHTML

Ph.D. Researcher – Materials Science and Engineering

Promoted

Sep 2024 – Present · 1 yr 6 mos

Applied Engineering principles and methods to design and implement models for materials characterization using machine learning resulting in 2 major pipelines for researching ML applications in MSE with the goal of writing and publishing 2-4 papers annually.
Conducted research in application of ML in predicting cracking in irradiation weakened Stainless Steel within nuclear reactors including modeling nuclear irradiation patterns in irradiated materials, collecting, cleaning, and combining nuclear data from various sources, and AI model testing of regression, gradient boosting, deep learning, and classification.
Developed tools to analyze SEM images and extract data regarding composition and structure using image processing principles with high (90%+) efficiency.
Collected, organized, and cleaned large data sets and interpreted data within a materials science lens to extract meaningful relationships.
Conducted 3- and 4-point stress/strain testing on heat treated stainless steel.
Independently (outside the research group) used NLP/LLM concepts to design and validate an AI powered search engine for truth/lie determination

Materials ScienceMachine Learning

M.S. Researcher – Materials Science and Engineering

Mar 2022 – Jun 2024 · 2 yrs 3 mos · Beijing, China · On-site

Conducted first principles analysis on a complex interaction between biomolecules and TMD lateral heterostructures to inform the design of lab experiments of upperclassman
Designed and executed DFT simulations using VASP within a compute node system optimizing computational speeds by approximately 20%
Conducted research in a clean-room and glovebox laboratory environment conducting CVD deposition and transfer of monolayer of WS2 and WSe2 on SiO2 wafers including wafer preparation, CVD deposition, wet transfer of monolayer to create Moiré vertical heterostructure.
Documented and present research results within the framework of the research group and the school.
Published two papers on the applications and advancements in next-gen materials.

Chemical Vapor Deposition (CVD)Atomic Force Microscopy (AFM)

Interac

Assistant Language Teacher

Apr 2019 – Sep 2021 · 2 yrs 5 mos · Greater Hiroshima

English foreign language instructor in an assistant language capacity.
Worked in a multicultural environment honing skills in time management, personal relationship development, and collaboration to achieve structured goals.

Cross-Cultural CommunicationInterdisciplinary Collaboration

Genoray america inc.

Field Service Engineer

May 2017 – Mar 2019 · 1 yr 10 mos · Orange County, California, United States · On-site

Installed, tested, verified, and validated complex dental and C-arm X-ray imaging systems in regulated clinical environments, reducing inspection timelines and improving system readiness
Performed system-level and component-level testing of power supplies, detectors, motion systems, and embedded control software, improving inspection efficiency from 2–3 days to 1–2 days (~33%)
Diagnosed hardware, software, and control system failures through analysis of schematics, device specifications, and field performance data, reducing downtime and improving sales pipeline efficiency by ~25%
Conducted root-cause analysis of recurring system failures and recommended corrective actions, preventing approximately $400,000 in missed sales and ~$10,000 in avoided travel and repair costs
Supported quality assurance and regulatory compliance efforts by providing detailed product feedback to the OEM and adhering to FDA-aligned operational and documentation requirements
Authored six procedural documents covering testing, repair, preparation, and shipment of X-ray systems to support quality, compliance, and maintenance programs
Trained and mentored three newly hired BMETs on installation, testing, safety procedures, and operational workflows, enabling independent field work within three months
Managed warehouse inventory, floor layout, and inspection workflows, improving space utilization by ~20% and reducing unsafe or noncompliant practices
Documented common system faults, repair procedures, and installation risks to reduce on-site troubleshooting time and eliminate 3–4 hours of recurring communication delays per visit

Medical ImagingSystem Testing