stay hungry, stay foolish
I am a DPhil Student at the University of Oxford and passionate about answering the question: How do we gather high-quality data and extract valuable information to answer important questions?
You can contact me here.
I like to think of statistics as the honest interpretation of data, even when the honest interpretation is less catchy than the story we might want to tell. Whether we're fitting models to reality or trying to fit reality to our models is worth thinking about. The latter defeats the point, though it is often more marketable.
At Oxford, my work focuses on modeling the co-distribution of Malaria and Schistosomiasis. This involves a lot of time thinking about generalized additive "smooth" models and analyzing satellite imagery in various geometric configurations. I'm part of the SchistoTrack group, named after the ongoing cohort study in Uganda. I am supervised by Goylette Chami and Christl Donnelly.
Previously, under the supervision of Frauke Kreuter in Munich, I worked on the rather unfashionable problem of simply asking good questions. Understanding that people would rather click boxes than type thoughtful responses often matters more than any sophisticated model.
This led to several engineering projects to modernize data collection:
I'm always happy to discuss research ideas and look forward to new collaborations.
If something here sparks your curiosity, I'd love to hear from you.
2025
2024
2023
Modeling disease co-infections in rural Uganda using satellite imagery and spatial statistics. DPhil project.
Voice agent for patients over 60 with mild cognitive impairment. Lead developer. Registered RCT, BMBF-funded.
Automating telephone surveys with conversational AI for 60 Decibels. 20,000+ interviews, scaling in emerging markets.
RAG-nificent, cuda-gis-smoothing, timeglobe, and other open source projects.
My research is graciously funded by Oxford Population Health.
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Angaben gemäß § 5 TMG:
Max Melchior Lang
Big Data Institute
Old Road Campus, University of Oxford
Oxford OX3 7LF, United Kingdom
Kontakt:
E-Mail: max.lang@stx.ox.ac.uk
Verantwortlich für den Inhalt nach § 55 Abs. 2 RStV:
Max Melchior Lang
Big Data Institute
Old Road Campus, University of Oxford
Oxford OX3 7LF, United Kingdom
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