Tyler Neill
About Tyler Neill
Tyler Neill is an Advanced Software Engineer at BenevolentAI in New York, specializing in data pipelines, APIs, and Python packages for drug discovery workflows.
Current Role at BenevolentAI
Tyler Neill currently works as an Advanced Software Engineer at BenevolentAI, a role he started on April 1, 2022. Based in New York, United States, he is involved in managing data pipelines, APIs, and Python packages specifically beneficial for workflows in drug discovery. His responsibilities include utilizing various technologies such as Python, Pandas, FastAPI, Bash, Make, Neo4j, SQL, Git, GitLab CI/CD, GitOps, Kubernetes, Kubeflow, Airflow, and Databricks.
Previous Experience at Leipzig University
From 2017 to 2020, Tyler Neill worked as a PhD Research Associate at Leipzig University in Leipzig, Saxony, Germany. During this period, he focused on research in Sanskrit and Digital Humanities, applying advanced computational methods to support data-driven research and learning. His use of natural language processing, machine learning, and other digital tools aimed to facilitate the understanding and analysis of Sanskrit texts.
Past Roles at Harvard University
Tyler Neill has held multiple positions at Harvard University in Cambridge, Massachusetts. He served as a Sanskrit Librarian from 2015 to 2016, a Project Assistant at SanskritLibrary.org in 2016, and a Graduate Student Teaching Fellow from 2013 to 2015. In these roles, he applied his expertise in Sanskrit and Indian Studies, facilitating academic research and teaching in these fields.
Educational Background at Leipzig University and Harvard University
Tyler Neill earned a Doctor of Philosophy (PhD) in Sanskrit and Digital Humanities from Leipzig University, studying there from 2017 to 2022. He also holds a Master of Arts (M.A.) in Sanskrit and Indian Studies from Harvard University, where he studied from 2011 to 2015. Additionally, he completed a Bachelor of Arts (B.A.) in Environmental Science and Public Policy at Harvard, attending from 2003 to 2008.
Technological and Research Skills
Tyler Neill brings a wealth of technological and research skills to his current role at BenevolentAI. He adeptly employs technologies such as Python, Pandas, FastAPI, Git, Kubernetes, and more. In his Sanskrit research, he leverages natural language processing, machine learning, visualization, and web programming to drive data-driven research and learning, demonstrating a strong intersection of humanities and computational expertise.