Gregory Toepperwein Email & Phone Number

• Provide tactical direction and leadership for language translation and NLP initiatives, overseeing amultidisciplinary team to ensure alignment with company goals and objectives.
• Continuously adapt machine learning (ML) translation tools and seek methodological improvementsfor low-resource language translation, leveraging innovative approaches and techniques.
• Champion innovation, introducing improvements at all stages of the translation process andcoordinating their implementation across organizational boundaries.
• Structure the overall translation flow, integrating human and machine translation efforts. Hold a deepunderstanding of process beyond its immediate technical components. Contribute to defining userroles, feedback.
• Lead and coordinate the efforts of a diverse team of NLP engineers, data scientists, andcomputational linguists, fostering collaboration and driving discovery.
• Contribute to corporate and public understanding of our language translation and NLP capabilitiesand how they support company objectives.

• Coordinated NLP team efforts across projects for language translation, medical conversation summarization, symptom detection, and text evaluation in foreign languages
• Continuously adapting ML baseline translations and seeking methodological improvements for low-resource language translation
• Crafted model prompt for LLM summarization of medical conversations, used both in product and for generation of training set for future models
• Directed manual NLP dataset creation effort of ~10 people for detailed markup of a small corpus; effort included scheme definition, motivating contributes, daily tracking, addressing issues, and quality review
• Developed definition management scheme to propagate English concepts to arbitrary target language allowing for enforcement of translation consistency
• Organized review scheme to get rapid translator feedback on proposed AI translationsCrafted metrics for evaluating translation naturalness in low-resource languages

Portland, Oregon Area

• Guided students through entire pipeline of modeling activity, imparting deep knowledge ofstatistical and machine learning algorithms to next generation of data scientists
• Built rapport, listened, and created a supportive environment for clients in which to deliver professional tutoring services most attuned to their individual needs
• Employed Natural Language Processing (NLP), using deep-learning architectures to solveproblems including text classification, image captioning, and sentiment analysis
• Communicated complex findings and design concepts to clients of all technical abilities
• Consulted on machine learning projects, helping to design, plan, implement, and automatecomplex workflows for medical event detection, recommender systems, and video analysis
• Partnered with clients on data analysis problems, demonstrating ETL techniques andimparting experience with data organization, infrastructure, and strategy

Hillsboro, OR

• Built, implemented, and iterated on data-focused models for photoresist development andsubsequent processing to enable advanced optical pattern correction (OPC) on reticles usedin Intels 14nm and 10nm technology nodes
• Partnered with computational and lithography stakeholders to understand and probebusiness needs, providing on-demand support to divergent activities that enabled teammembers, fostered innovation, and ensured all.
• Deployed cutting-edge solutions to production-level systems (see Patents section)
• Worked in newly-formed, small, dynamic data-science team with an open-ended mandate toimprove modeling methodology, metrics, and computational tools for novel reduction of model error through analysis of simulated.
• Rapidly developed high-impact photoresist models in support of high-visibility products
• Effective partner to product managers, working in cross-functional teams to continuallyanalyze yield-limiting liabilities and provided process insights to drive business decisions

• Investigated effect of nanoparticle inclusions on the structural properties of the underlying polymer matrix via coarse-grained models
• Engaged in collaboration with Intel and Cornell University to develop commercially feasible processes using traditional resists with super-critical CO2 as an environmentally benign solvent using various additives.
• Explored effect of nanoparticle size, aspect ratio, concentration, and surface chemistry on mechanical strength of polymer nanocomposites
• Modeled ionic liquids to determine mechanical properties and feasibility as resist developer
• Studied void formation in nanocomposites to understand the role inclusions play in failure
• Mentored undergrad research assistant for three semesters, guiding student’s development of programming skills and application of advanced simulation algorithms

• Contributed to semiconductor lithography projects by conducting experiments, completing research, and performing engineering calculations
• Performed Factory Acceptance Testing for 193nm interference lithography (IL) tool from newsupplier as part of Sematech’s R&D pilot line
• Prepared test wafers on photoresist track including: spin-coating polymer onto wafers, pre-baking, post-baking, developing, and rinsing
• Used VUV ellipsometer to test film thickness and calibrate spin speed for testing wafers
• Acted as primary operater for new IL tool
• Produced dose-focus arrays on new IL tool and manually evaluated results on SEM to characterize process window

Doctor Of Philosophy (Ph.D.), Chemical Engineering

Bachelor Of Science (Bs), Chemical Engineering