Anastasia A. Adriano, M.B.A.
About Anastasia A. Adriano, M.B.A.
Anastasia A. Adriano, M.B.A., is a Legal Research Educator with a strong academic background in mathematics and law. She specializes in quantum computation, machine learning, and financial mathematics, and is fluent in Russian, Spanish, and English.
Current Role at Thomson Reuters
Anastasia A. Adriano serves as a Legal Research Educator at Thomson Reuters, a position she has held since 2021. In this role, she focuses on enhancing legal research methodologies and practices, ensuring that best practices are maintained throughout the research and development processes. Her work involves collaborating with legal professionals and educators to improve the quality and accessibility of legal research resources.
Education and Expertise
Anastasia holds multiple degrees, including a Doctor of Philosophy (Ph.D.) in Mathematics, with a focus on quantum computation, machine learning, and financial mathematics, which she completed from 2019 to 2023. She also earned a Juris Doctor from Lewis & Clark Law School, where she specialized in Banking, Corporate, Finance, Intellectual Property, and Securities Law. Additionally, she has a Master of Business Administration (MBA) and a Master of Science (MS) in Statistics, along with a Graduate Certificate in Data Science from Willamette University.
Professional Background
Anastasia has a diverse professional background that includes roles in legal research, data science, and education. She has worked as a Summer Associate at Miller Nash Graham & Dunn LLP and as an External Consultant at Umpqua Bank, focusing on Law and Risk Analysis. Her experience also includes positions as a Machine Learning Model Developer at Oregon Health & Science University and a Data Scientist at Willamette University. Additionally, she has held various teaching and research assistant roles at Lewis & Clark College.
Technical Skills and Research Focus
Anastasia possesses advanced technical skills in data science and machine learning. She is proficient in using libraries such as Scikit-learn, TensorFlow, and Pandas, and is skilled in developing both supervised and unsupervised algorithms. Her expertise extends to extracting features, building kernels, and creating robust data models. She is also experienced in using a range of data analysis tools, including SQL, Python, R, and Tableau.
Language Proficiency and Community Engagement
Fluent in Russian, Spanish, and English, Anastasia effectively communicates with diverse audiences. She promotes workplace diversity and creates inclusive spaces in her professional environments. Her commitment to community engagement is evident from her role as Co-Founder and Managing Director of the Portland branch of Everybody Dance Now!, where she contributed to fostering community through dance and education.