• Influenced & consulted laboratory scientists, data scientists, and R&D leadership as a trusted customer advisor, helping guide digital transformations and organizational adoption of AI & ML.• Contributed directly to winning contract renewals with customers by crafting compelling visualizations highlighting technical wins tied to business goals for executives, catalyzing project expansions, and technical scoping of potential new projects to maximize Citrine’s value-add and boost company ARR.• Combined deep technical knowledge across diverse fields (chemistry, materials science, statistics, data management, machine learning) to rapidly innovate and prototype solutions to cross-disciplinary problems.• Led the Data Science team’s creation & development of a web application hosting an interactive suite of visualizations for in-depth analysis of model performance and explainability.• Actively triaged difficult customer needs & challenges, delicately balancing competing priorities.• Frequently educated users new to AI on the core principles of Citrine’s software platform, clearly and simply enough to accelerate their own R&D projects without needing to learn to read/write code.• Conceived and drove internal ML research projects, including a method for jump-starting projects with no prior training data, developing a repo for simulating Active Learning project trajectories for benchmarking & heuristics development, and a novel approach for generative molecular design, complemented by a lightweight UI to allow users to apply domain-specific constraints to each design run.

• Technical lead for several R&D and product development projects to develop novel polymer materials for disruptive carbon fiber composite 3D printing technique, aimed at high-value applications in energy, aerospace, & automotive markets.• Developed proof-of-concept stage machine learning system for predictive analysis of 3D printing resin mechanical properties, based on chemical composition and corresponding molecular structures of formulation ingredients as input features for model training.• Leads initiative to enhance 3D printing team’s capabilities towards data-driven development by designing and establishing roadmaps for data policy and strategy, guiding the growing development of group’s databases of formulation and physical property data and implementation of machine learning techniques to guide material development.• Provides training to team members on software packages for statistical Design of Experiments as well as general best practices for sound statistical data analysis.• Builds and maintains close relationships with customers in the 3D printing industry, acting as point of contact for in-depth technical support by facilitating regular conference calls and technical presentations.• Utilizes deep knowledge of photopolymer chemistry, materials science, and hands-on formulation experience to develop unique, high-performance 3D-printable materials to compete with traditional engineering plastics.• Contributed to two submitted patent applications related to unique 3D printing formulations and methods; one as lead author and another as a supporting author.

• Acted as process engineer for wastewater treatment plant by analyzing daily performance data, troubleshooted operating issues to ensure permit compliance, and led continuous improvement projects to optimize treatment process• Collaborated with other departments as project manager for environmental capital projects; ex: repair of tank farm secondary containment & storm water piping, waste minimization projects, and tracking capital project budgets in SAP• Supported New Product Development team throughout stage gate process by building & maintaining air emission simulations of chemical manufacturing processes with Emission Master modeling software• In-training for both Lean Six Sigma Green Belt project leader certification and PHA facilitator certification• Coordinated hazardous waste disposals, compliance sampling with external labs, permit revisions, and provided annual training to all plant employees to cultivate awareness of environmental regulations pertinent to site operations

• Studied phase transition dynamics of perovskite ceramics used in capacitors, DRAM, and other microelectronic devices• Utilized innovative electron microscopy technique featuring femtosecond (10^-15 seconds) imaging speed, enabling visualization of rapid motion in near-atomic scale structures (ex: phase transitions in ferroelectric ceramics) • Remodeled laboratory equipment in-house at lower cost than purchase from vendor – designed custom components using CAD, coordinated with machine shop for component fabrication, conducted hands on tests for verification of successful operation of remodeled equipment, and wrote SOP guiding reliable operation by other lab members• Practiced precise and delicate hands on operation of mechanical polishing equipment to consistently prepare ceramic samples of 100-200 nm thickness without fracture, despite highly brittle material properties• Won funding for future equipment improvements by writing successful Sigma Xi Grant-in-Aid of Research proposal• Developed Matlab image processing algorithm to compute lattice spacings from TEM diffraction data sets for identifying crystal structures

• Designed conceptual scope for nitrogen blanketing system on an intermediate product tank for handoff to project engineering team; project aimed at mitigation of corrosion-related fouling and subsequent process downtime• Developed VBA code for tracking lab data on catalytic reformer unit, increasing visibility of quality/safety specs• Exercised process safety knowledge by identifying hazardous operating conditions in steam drum; designed & proposed equipment modification using field survey data, knowledge of refinery P&IDs, and mass & energy balance calculations• Predicted lifespan of distillation column trays to prepare for upcoming turnaround using HYSIS modeling software

• Utilized process control equipment to fine-tune operating parameters such as temperature, pressure, gas flow rates, and growth time; enhanced performance to meet target crystal size for novel radiation detection applications • Project funded by Department of Defense to replace conventional helium-3 based devices limited by isotope scarcity• Characterized experimental results of defect-selective etching procedure using expertise in SEM• Contributed as secondary author to work published in peer-reviewed journal

• Optimized electrochemical synthesis of surfactant-stabilized (non-aggregating) colloidal platinum nanoparticles• Characterized synthesis products using UV-Vis & IR spectrophotometry • Delivered poster presentation summarizing research progress & its link to applications in hydrogen fuel cell catalysis• Contributed experimental data to group’s work, later published in peer-reviewed journal