A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Published in Medium.com, 2015
I write about data science and other topics at Medium.com.
Recommended citation: Vaughn, Medium.com https://medium.com/@CentaurLabs/the-wisdom-of-the-crowd-in-medicine-455435f4826a#:~:text=The%20wisdom%20of%20the%20crowd%20relies%20on%20the%20diversity%20and,better%20than%20a%20singular%20opinion.
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About me
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Short description of portfolio item number 1
Short description of portfolio item number 2
Published in IEEE Xplore, 2019
This paper describes ML approaches with 3D camera data to monitor patient blanket coverage in a clinical setting.
Recommended citation: J. Vaughn, M. Milosevic and S. Parvaneh, "Monitoring of Patient Blanket Coverage using 3D Camera Data," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 864-867, doi: 10.1109/EMBC.2019.8856522. https://ieeexplore.ieee.org/document/8856522
Published in ACM Conference in Health, Inference, and Learning, Workshop Spotlight, 2020
This paper describes a technical and policy framework for developing less biased/more robust healthcare AI systems.
Recommended citation: J. Vaughn, A. Baral, M. Vadari "Analyzing the Dangers of Dataset Bias in Diagnostic AI systems: Setting Guidelines for Dataset Collection and Usage", ACM Conference on Health, Inference and Learning, 2020 Workshop http://juliev42.github.io/files/CHIL_paper_bias.pdf
Published in MIT dSpace, 2021
This paper was my thesis in the lab of Professor Peter Szolovits, with mentorship from William Boag.
Recommended citation: Vaughn, J.R., 2021. Understanding Clinical Pain Management and Patient Experiences of Pain from Electronic Health Records (Master's thesis, Massachusetts Institute of Technology). https://dspace.mit.edu/handle/1721.1/140086
Published in GeroScience, 2022
I contributed to some exploratory statistical analyses in the measures of healthspan presented in this paper.
Recommended citation: Chen, Frances L., et al. "Evaluating instruments for assessing healthspan: a multi-center cross-sectional study on health-related quality of life (HRQL) and frailty in the companion dog." GeroScience (2022). https://www.biorxiv.org/content/biorxiv/early/2022/07/22/2022.07.21.500746.full.pdf
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Poster presentation of a microfluidic paper-based device developed during the Clark Scholars Program at Texas Tech.
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Invited poster presentation at the American Medical Informatics Association (AMIA) 2022 Annual Symposium. Presented by my collaborator, Dr. Agustina Saenz from Brigham and Women’s Hospital.
Workshop, Universidad de Panamericana, Engineering, 2019
Assembled materials for and taught a weeklong computer science course introducing young women in Aguascalientes, Mexico to a variety of topics in algorithms, computer programming, and web development.
Workshop, MIT Educational Studies Program: HSSP, 2019
Designed and taught a course on hands-on introductory EECS topics with a friend. The course was attended by local high school students who came to our class on Saturdays over the summer.
Workshop, MIT India Initiative, 2020
I co-designed and co-taught a course on healthcare problem-solving to passionate students and professionals in Mumbai, India. The curriculum was focused on design thinking, teamwork, and communication skills. One of the teams we mentored, Medi-Assess, placed at the global 2020 Johns Hopkins Healthcare Design Competition.
Undergraduate course, MIT, EECS, 2020
I was a course assistant for 6.036, Intro to ML, during Spring 2019 and Spring 2020, and am a TA during the 2020-2021 academic year. My duties consisted of answering student questions, giving checkoffs, reviewing content, and clarifying tricky concepts.
Workshop, Inspirit AI, 2020
Taught basic python, data science, and machine learning skills to high school students as an instructor for the Inspirit AI winter program. Helped students complete a small project that involved analyzing the COVID-19 genome.