The Health Intervention Analytics Lab is a junior research group headed by Dr. Stefan Konigorski, Senior Researcher in the chair of Digital Health & Machine Learning and Adjunct Assistant Professor at the Icahn School of Medicine at Mount Sinai in New York. 

The group was founded in May 2021 and is pioneering work on open source tools to perform N-of-1 trials in order to investigate the effect of digital health interventions on an individual level. We have developed the StudyU platform and StudyMe app that allow researchers, physicians and citizens to easily design and conduct N-of-1 trials and find out if health interventions have an effect. The aim is to allow everyone to setup and conduct N-of-1 trials digitally and support open, reproducible science through the platform. First clinical studies in collaboration with clinicians are running using StudyU. In addition to N-of-1 trials, the group is working on adaptive trials and micro-randomized trials in order to implement and analyze effects of adaptive health interventions.

The software tools and clinical studies provide empirical clinical data for our methodological work on statistical and machine learning methods to analyze the resulting complex time series data. We employ methods from causal inference by viewing the data embedded in its causal structure. Further analytic methods of interest encompass clinical risk prediction models. 

• StudyU: Platform for designing designing, implementing, and conducting digital health interventions through N-of-1 trials
• StudyMe: App that allows everyone in the general population to design and perform an N-of-1 trial to investigate the effectiveness of one or more health interventions on a health outcome that they are interested in.
• Statistical and machine learning methods for N-of-1 trials and their design
• Causal inference in prediction models

• Susan Murphy, Statistical Reinforcement Learning lab, Harvard University
• Chris Schmid & Jeff Huang, Brown University
• Jane Nikles, University of Queensland
• Parag Goyal, Weill Cornell Medicine
• Sungho Won, Health Statistics lab, Seoul National University

• Collaboration with the Clinical Psychology group at Helmut Schmidt University/University Medical Center Hamburg-Eppendorf in an ongoing series of N-of-1 trials using StudyU on open-label placebo treatment for antidepressant discontinuation symptoms.
• Collaboration with researchers at the University of Queensland on using StudyU in N-of-1 trials with patients with chronic pain

We are looking for interested Master students and HiWis to support our work on apps (StudyU, StudyMe) and our work on statistical & machine learning models for their analysis. See here for more details.

• Dr. Stefan Konigorski (Head of group)
• Dr. Marco Piccininni (Postdoc, starting September 2023)
• Juliana Schneider (PhD student)
• Thomas Gärtner (PhD student)
• Johannes Vedder (Master student)
• Dominik Meier (Master student)
• Sascha Obst (Master student)
• Sandro Steinwand (Master student)
• Victoria Ayvasky (Master student)
• Mohammad Asaduzzaman Miah (Master student)
• Mohammad Abralur Rahman Akash (Master student)
• Alisher Turubayev (Master student)
• ... and close collaborations with the chair of Digital Health & Connected Healthcare

Alumni:

• Dr. Luca Meoli (Guest scientist, scientist at Charité Berlin)
• Danielle Cohen (Master student 2022-23)
• Larissa Röhrig (Master student 2022-23)
• Alexander Zenner (Master student 2020-21, now at Google)
• Nils Strelow (Master student 2020-21, now at Google)
• Lukas Ehrig (Master student 2021-22)
• Francisco Rios (Research Associate 2021-22)
• Lasse von der Heydt (Research Associate 2021-22)
• Mohammad Wasil Saleem (Master student 2021)