bio

I’m currently a Computer Science PhD candidate at Duke University, working under Jun Yang and Bhuwan Dhingra. My research is focused on vaccine misinformation and high-subjectivity tasks in NLP. I’m passionate about global-scale issues and have vast experience working in many different cultures.
I am a fourth-year Computer Science PhD candidate at Duke University. My research is focused on vaccine misinformation and high-difficulty, high-subjectivity tasks in NLP. I’m co-advised by Jun Yang and Bhuwan Dhingra.

I am co-president of DACC, a consulting organization that provides pro-bono technical and management consulting for businesses across the United States. I am also active in the grad-student government and negotiated the recent PhD stipend increase at Duke University as part of the PhD Stipend Task Force.
I am a fourth-year Computer Science PhD candidate at Duke University. My research is focused on vaccine misinformation, and high-difficulty, high-subjectivity tasks in NLP. I’m co-advised by Jun Yang and Bhuwan Dhingra.

I am co-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). I oversee approximately 25 8-10 week engagements each year. I am also active in the grad-student government. I negotiated the recent PhD stipend increase of 15% at Duke University as part of the PhD Stipend Task Force, and sit on various committees and hiring boards at Duke.

I graduated Summa Cum Laude in three years from Northeastern University (a five-year school) with a BS in Computer Engineering. In 2020 I was inducted into the Huntington 100 group, an annual list of the top 100 most influential students from the University’s 18,000+ students. I also received the PEAK Research fellowship for my 6-month full-time work under Renée J. Miller, working on the schema inference problem for open data.

During my time at Northeastern, I sat as chair of the Title IX Board, overseeing student misconduct cases regarding issues ranging from sexual assault to stalking. I was also a full voting member of SVF, an investment fund managing ~$215,000 of Northeastern’s Endowment, and sat on various advisory boards that served the university.

Much of my other relevant experience pertains to cultural agility. I have worked on projects and full-time jobs in Southeast Asia, Africa, and North America; lived in Europe, Southeast Asia, and the US; studied in North America, South America, and Southeast Asia; as well as completed various international training programs in 7 countries. I speak fluent English and Swedish, and I can converse at a limited proficiency in Spanish and Indonesian.

papers

2024

Large Language Models are Inconsistent and Biased Evaluators

Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara

Under review.

Your Large Language Models are Leaving Fingerprints

Hope McGovern, Rickard Stureborg, Yoshi Suhara, Dimitris Alikaniotis

Under review.

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

Under review.

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

Under review.

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

Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara

EACL 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 poster.

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

SPIE 2021.

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.