announcement:
I'm defending my PhD! 😄😄 🎓
November 12, 2024. 3pm ET
The defense will begin with a 1-hour presentation that is open to the general public. I invite you to attend if you are curious about my work, or just want to know what a PhD defense in AI is like. It will be held Tuesday, Nov 12 at 3pm ET on Zoom. The link is below, or just copy-paste the url:
https://rickard.stureborg.com/defense
zoom link
light pre-reading
bio
Rich Stureborg is a computer scientist with a background in finance. He investigates large language models and their use in challenging tasks like understanding vaccine concerns and improving human writing. He has broad professional experience within higher education and is currently serving on the board of Duke University.
Rich Stureborg is a computer scientist with a background in finance, specializing in the use of language models for complex, subjective tasks like understanding vaccine concerns and enhancing human writing. His interdisciplinary research has been featured in top venues across fields like natural language processing, human-computer interaction, artificial intelligence, optics, and public health. Rich will be joining Grammarly as an applied scientist and is co-advised by Jun Yang and Bhuwan Dhingra.
Rich has broad professional experience within higher education and is currently on the board of Duke University. Previously, he led DACC, a consulting organization, overseeing significant growth and restructuring efforts. He holds an MS in Computer Science from Duke, and a BS in Computer Engineering from Northeastern. He is defending his PhD in NLP this year.
Rich has broad professional experience within higher education and is currently on the board of Duke University. Previously, he led DACC, a consulting organization, overseeing significant growth and restructuring efforts. He holds an MS in Computer Science from Duke, and a BS in Computer Engineering from Northeastern. He is defending his PhD in NLP this year.
Rickard Stureborg, who goes by Rich, is a computer scientist with a background in finance. His research focuses on the use of language models in high-subjectivity, high-difficulty tasks such as understanding vaccine concerns and improving human writing. He is co-advised by Jun Yang and Bhuwan Dhingra. Rich is an incoming applied scientist at Grammarly. Rich’s interdisciplinary research has been featured in the most prestigious peer-reviewed research venues across several fields, including natural language processing (*ACLs), human-computer interaction (CHI), artificial intelligence (NeurIPS and AAAI workshops), optics (SPIE, Journal of Biomedical Optics), and public health (Vaccine).
Rich has broad professional experience within higher education and is currently on the board of Duke University. He has worked in and sat on committees and boards for a wide range of topics, including curriculum development, Title IX, disability resources, hiring of key administrators, and university endowments. He served on the Advisory Committee for Investment Responsibility (ACIR) at Duke, which examines portfolio transparency and potential divestments for the $12B endowment. He was a voting member of an organization that managed investments for part of Northeastern’s endowment. He was also the Treasurer for Graduate and Professional Student Government (GPSG), where he directly managed the $360K annual budget. In this role, he also negotiated a PhD stipend increase of 15% on behalf of ~4K Duke doctoral students as part of a task force composed of the top CFOs and Deans at Duke University.
Previously, Rich served as president of DACC, a consulting organization that provides pro-bono technical and management consulting for businesses of all sizes (from startups to S&P 1000) and all industries (from biotech to retail). There, he oversaw more than 50 client engagements and hired more than 200 part-time student consultants. In 3 years, he restructured the organization into four strategic business units, led a rebranding campaign, drastically reduced turnover, and grew the organization from ~2-3 clients served per year to 25 clients per year (roughly 10x growth).
Rich started his career in 2016 on the Indonesian stock market, working on equities research. Rich graduated Summa Cum Laude in three years from Northeastern University (a five-year school) with a BS in Computer Engineering. There, he was inducted into the Huntington 100 group, an annual list of the top 100 most influential students from the University’s 18,000+ students (top 0.5%). He holds an MS in Computer Science from Duke University, and is defending a PhD in NLP in November of 2024.
Rich has broad professional experience within higher education and is currently on the board of Duke University. He has worked in and sat on committees and boards for a wide range of topics, including curriculum development, Title IX, disability resources, hiring of key administrators, and university endowments. He served on the Advisory Committee for Investment Responsibility (ACIR) at Duke, which examines portfolio transparency and potential divestments for the $12B endowment. He was a voting member of an organization that managed investments for part of Northeastern’s endowment. He was also the Treasurer for Graduate and Professional Student Government (GPSG), where he directly managed the $360K annual budget. In this role, he also negotiated a PhD stipend increase of 15% on behalf of ~4K Duke doctoral students as part of a task force composed of the top CFOs and Deans at Duke University.
Previously, Rich served as president of DACC, a consulting organization that provides pro-bono technical and management consulting for businesses of all sizes (from startups to S&P 1000) and all industries (from biotech to retail). There, he oversaw more than 50 client engagements and hired more than 200 part-time student consultants. In 3 years, he restructured the organization into four strategic business units, led a rebranding campaign, drastically reduced turnover, and grew the organization from ~2-3 clients served per year to 25 clients per year (roughly 10x growth).
Rich started his career in 2016 on the Indonesian stock market, working on equities research. Rich graduated Summa Cum Laude in three years from Northeastern University (a five-year school) with a BS in Computer Engineering. There, he was inducted into the Huntington 100 group, an annual list of the top 100 most influential students from the University’s 18,000+ students (top 0.5%). He holds an MS in Computer Science from Duke University, and is defending a PhD in NLP in November of 2024.
publications
Tailoring Vaccine Messaging with Common-Ground Opinions
NAACL Findings 2024.
Development and Validation of VaxConcerns: a Taxonomy of Vaccine Concerns and Misinformation with Crowdsource-Viability
Vaccine 2024.
Scalable Classification of Online Vaccine Concerns
SouthNLP 2024.
Limitations of Large Language Models as Automatic Evaluators
SouthNLP 2024.
Hierarchical Multi-Label Classification of Online Vaccine Concerns
AAAI 2024 Health Intelligence workshop.
*Equal contribution
2023
Exploring the Effect of Frequency Resolution in FNetACL 2023 Sustainable NLP workshop.
NeurIPS 2023 WIML workshop.
2021
Method for measurement of collagen monomer orientation in fluorescence microscopySPIE 2021.
Journal of Biomedical Optics.
2020
Integrating machine learning with MATLAB and simulink in an introductory robotics classASEE-NE 2020.
(3rd place in Best Faculty / Professional Papers Category)
That's all I got... nothing else down here.