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.
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.

publications

202[?]

Backoff Decoding: A Language Model Inference Acceleration Framework with a Tunable Efficiency-Performance Tradeoff

Maximilian Holsman, Yukun Huang, Rickard Stureborg, Bhuwan Dhingra

MATVIX: Multimodal Information Extraction from Visually Rich Articles

Ghazal Khalighinejad, Sharon Scott, Ollie Liu, Kelly L. Anderson, Rickard Stureborg, Aman Tyagi, Bhuwan Dhingra

Human Perception of Vaccine Messaging Tailored by Large Language Models

Rickard Stureborg, Henry Bell, Pardis Emami-Naeini, Jun Yang, Bhuwan Dhingra

CoWriter: A Tool to Study the Human-Machine Cooperative Writing Journey

Rickard Stureborg, Abhinav Sethy, Vipul Raheja, Vivek Kulkarni

2024

Large Language Models are Inconsistent and Biased Evaluators

Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara

Preprint.

Your Large Language Models are Leaving Fingerprints

Hope McGovern, Rickard Stureborg, Yoshi Suhara, Dimitris Alikaniotis

Preprint.

Tailoring Vaccine Messaging with Common-Ground Opinions

Rickard Stureborg, Sanxing Chen, Ruoyu Xie, Aayushi Patel, Christopher Li, Chloe Qinyu Zhu, Tingnan Hu, Jun Yang, Bhuwan Dhingra

NAACL Findings 2024.

Development and Validation of VaxConcerns: a Taxonomy of Vaccine Concerns and Misinformation with Crowdsource-Viability

Rickard Stureborg, Jenna Nichols, Bhuwan Dhingra, Jun Yang, Walter Orenstein, Robert A. Bednarczyk, Lavanya Vasudevan

Vaccine 2024.

Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics

Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara

EACL 2024.

Scalable Classification of Online Vaccine Concerns

Rickard Stureborg, Chloe Qinyu Zhu, Christopher Li, Bhuwan Dhingra

SouthNLP 2024.

Limitations of Large Language Models as Automatic Evaluators

Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara

SouthNLP 2024.

Hierarchical Multi-Label Classification of Online Vaccine Concerns

Chloe Qinyu Zhu*, Rickard Stureborg*, Bhuwan Dhingra

AAAI 2024 Health Intelligence workshop.

*Equal contribution

2023

Exploring the Effect of Frequency Resolution in FNet

Gregory Szumel, Ghazal Khalighinejad, Rickard Stureborg, Samuel Wiseman

ACL 2023 Sustainable NLP workshop.

NeurIPS 2023 WIML workshop.

Learning the Legibility of Visual Text Perturbations

Dev Seth, Rickard Stureborg, Danish Pruthi, Bhuwan Dhingra

EACL 2023.

Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations

Rickard Stureborg, Bhuwan Dhingra, Jun Yang

CHI 2023.

Do Not Harm Protected Groups in Debiasing Language Representation Models

Chloe Qinyu Zhu, Rickard Stureborg, Brandon Fain

Preprint.

2021

Method for measurement of collagen monomer orientation in fluorescence microscopy

Rodrigo Alzola, Seyed Mohammad Siadat, Anuj Gajjar, Rickard Stureborg, Jeffrey W. Ruberti, Jose Delpiano, Charles A. DiMarzio

SPIE 2021.

Journal of Biomedical Optics.

2020

Integrating machine learning with MATLAB and simulink in an introductory robotics class

Julius Marpaung, Rickard Stureborg, John K. Kimani

ASEE-NE 2020.

(3rd place in Best Faculty / Professional Papers Category)

2019

Traffic Prediction From Weather On I-94 in Minnesota

Rickard Stureborg, Jeff Weintraub, Nicholas Fresneda

Preprint.

contact

Duke email: rickard.stureborg@duke.edu

Grammarly email: rich.stureborg@grammarly.com

That's all I got... nothing else down here.