Research

Publications

  • Multi-Trajectory Modeling to Predict Acute Kidney Injury in Chronic Kidney Disease Patients. American Medical Informatics Association (AMIA) Annual Symposium Proceedings, San Francisco. Authors: Philipp Burckhardt, Prof. Daniel Nagin, Prof. Rema Padman, Vijaya Priya Rama Vijayasarathy.
  • TeachIT: Turning the Classroom into a Research Laboratory via Interactive E-Learning Tools. Invited paper. Proceedings of the Tenth International Conference on Teaching Statistics (ICOTS10, July, 2018), Kyoto, Japan. Authors: Philipp Burckhardt, Prof. Alexandra Chouldechova, Prof. Rebecca Nugent
  • deidentify. American Medical Informatics Association (AMIA) Annual Symposium Proceedings, Chicago, 2018. Authors: Philipp Burckhardt, Prof. Rema Padman
  • Querying Online Self-help Forums for Chronic Kidney Disease with Ontology-based Text Mining. Proceedings of the 12th INFORMS Workshop on Data Mining and Decision Analytics, Houston, 2018. Authors: Philipp Burckhardt, Prof. Rema Padman
  • Improving Statistics Education Through Interactive Learning Tools. Joint Statistical Meetings (JSM) Proceedings, Baltimore, 2017. Authors: Philipp Burckhardt, Prof. Alexandra Chouldechova
  • Multi-Trajectory Models of Chronic Kidney Disease Progression. American Medical Informatics Association (AMIA) Annual Symposium Proceedinthgs, Chicago, 2016. Authors: Philipp Burckhardt, Prof. Daniel Nagin, Prof. Rema Padman
  • Analyzing Self-Help Forums with Ontology-Based Text Mining: An Exploration in Kidney Space. American Medical Informatics Association (AMIA) Annual Symposium Proceedings, San Francisco, 2015. Authors: Philipp Burckhardt, Prof. Rema Padman

Technical Reports

Conference Presentations

2018

  • Multi-Trajectory Modeling to Predict Acute Kidney Injury in Chronic Kidney Disease Patients. Paper presentation at the AMIA 2018 Annual Symposium, San Francisco, November 2018, joint work with Rema Padman, Daniel Nagin, Vijaya Priya Rama Vijayasarathy
  • First Words - How to get rid of a thousand apps and regain your voice. Presentation at the International JavaScript Conference (iJS), Munich, October 2018
  • Techniques for Analyzing Large Datasets with Node.js. Presentation at the International PHP Conference, Munich, October 2018
  • How students make sense of data on an e-learning platform. Presentation at the Joint Statistical Meetings, Vancouver, July-August 2018, joint work with Rebecca Nugent and Christopher Genovese
  • TeachIT: Turning the Classroom into a Research Laboratory via Interactive e-Learning Tools. Paper presentation at 10th International Conference on Teaching Statistics, Kyoto, July 2018, joint work with Alexandra Chouldechova and Rebecca Nugent
  • Learning Data Science with the Help of a Data Exploration Tool. Poster presentation at the Electronic Conference On Teaching Statistics (eCOTS), May 2018, joint work with Rebecca Nugent and Christopher Genovese
  • Identifying misconceptions of introductory data science using a think-aloud protocol. Poster presentation at the Electronic Conference On Teaching Statistics (eCOTS), May 2018, joint work with S Hyun, P Elliott, C Evans, K Lin, A Luby, C P Makris, J Orellana, A Reinhart, J Wieczorek, R Yurko, G Weinberg, & R Nugent
  • E-Learning Tools for Teaching Predictive Analytics and Data Science. Presentation at the POMS 29th Annual Conference, Houston, May 2018, joint work with Rema Padman
  • De-identification of personal health identifiers in medical records. Poster presentation at the CMU Innovation with Impact Exhibition, April 2018, joint work with Rema Padman
  • Introduction to stdlib-js. Talk at the International JavaScript Conference (iJS), London, April 2018
  • The JavaScript & Node.js Data Science Survival Kit. Power workshop (together with Athan Reines) at the International JavaScript Conference (iJS), London, April 2018

2017

  • deidentify. Paper presentation at the AMIA 2017 Annual Symposium, Washington DC, November 2017, joint work with Rema Padman
  • deidentify. Paper presentation at the 8th Conference on Health IT and Analytics (CHITA), Washington DC, November 2017, joint work with Rema Padman
  • Exploratory Data Analysis with JS. Talk at the International JavaScript Conference (iJS), Munich, October 2017
  • Best Practices for Writing JS Libraries. Talk at the International JavaScript Conference (iJS), Munich, October 2017
  • Querying Online Self-help Forums for Chronic Kidney Disease with Ontology-based Text Mining. Paper presentation at the 12th INFORMS Workshop on Data Mining and Decision Analytics, Houston, October 2017, joint work with Rema Padman
  • The ISLE Experience: Enhancing Classroom Instruction with Interactive e-Learning Tools. Presentation at Teaching & Learning Summit, Pittsburgh, October 2017, joint work with Alexandra Chouldechova and Rebecca Nugent
  • Assessment of Student Learning and Misconception Identification in Intro Statistics. Poster at Teaching & Learning Summit, Pittsburgh, October 2017, joint work with Peter Elliott, Sangwon Hyun, Kevin Lin, Amanda Luby, Christopher Peter Makris, Josue Orellana, Alex Reinhart, Jerzy Wieczorek, Gordon Weinberg & Rebecca Nugent
  • Data Science Survival Kit. Workshop at Node.js Interactive US (together with Athan Reines), Vancouver, October 2017
  • Improving statistics education through interactive learning tools. Paper presentation at the Joint Statistical Meetings, Baltimore, July-August 2017, joint work with Alexandra Chouldechova
  • The JavaScript Data Science Survival Kit. Workshop at FullStack conference on JavaScript, Node and Internet of Things (together with Athan Reines), London, July 2017
  • Monitoring and Analyzing User Behaviour. Talk at FullStack conference on JavaScript, Node and Internet of Things, London, July 2017
  • Understanding Chronic Kidney Disease Progression through Multi-Trajectory Modeling. Talk at the POMS 28th Annual Conference, Seattle, May 2017, joint work with Rema Padman and Daniel Nagin
  • How to Mislead the Public. Talk at the csv,conf,v3 conference, Portland, May 2017

2016

  • Real-Time Machine Learning with Node.js. Talk at the Node.js Interactive US conference, Austin, November 2016
  • Multi-Trajectory Models of Chronic Kidney Disease Progression. Talk at the American Medical Informatics Association (AMIA) Annual Symposium, Chicago, November 2016, joint work with Daniel Nagin and Rema Padman
  • Real-Time Machine Learning with Node.js. Talk at the EmpireNode conference, New York, November 2016
  • Text Mining with Node.js. Talk at the Node.js Interactive Europe conference, Amsterdam, September 2016
  • Workshop: Interactive Numeric Computing with Node.js and JavaScript. Assistance for a workshop led by Athan Reines at FullStack conference on JavaScript, Node and Internet of Things, London, July 2016

2015

  • Analyzing Self-Help Forums with Ontology-Based Text Mining: An Exploration in Kidney Space. Presented at the American Medical Informatics Association (AMIA) Annual Symposium, San Francisco, November 2015, joint work with Rema Padman
  • Powered by the Web. Harnessing web technologies for large-scale data analysis. Presented at the “From Industrial Statistics to Data Science” conference at the University of Michigan, Ann Arbor, September 2015 , joint work with Athan Reines
  • Tweet as a Tool for Election Forecast: UK 2015 General Election as an Example. Presented at the fifth annual conference of the European Political Science Association (EPSA), Vienna, June 2015 , with Raymond Duch and Akitaka Matsuo
  • Locating Economic Perception: The Geographical Distribution of Economic Tweets. Presented at the 73rd annual Midwest Political Science Association (MPSA) Conference, Chicago, April 2015 , with Raymond Duch and Akitaka Matsuo

2014

  • Locating Economic Perceptions. Presented at the Asian Political Methodology Meeting, Tokyo, January 2014, with Raymond Duch and Akitaka Matsuo

Miscellaneous

Affiliations

Presentations

Data Analysis Reports

Tutorials

Shiny Projects