I'm Chris von Csefalvay, a data scientist and computational epidemiologist currently serving as Practice Director for healthcare AI/ML at HCLTech. You might know me from such hits as the world's largest collection of Covid-19 data, the public data set on the 2019 Samoan measles outbreak, the public data set on the 2018 West African EBOV outbreak and the first community-driven book on Julia. My book, The Computational Modeling of Infectious Disease, is now available at all good booksellers and of course Amazon. I rant about things here – recently, mostly about LLMs.

I'm a computational epidemiologist and data scientist working at the intersection of AI/ML, computational dynamics and public health. I am the author of Computational Modeling of Infectious Disease, a richly illustrated compendium on modern computational epidemiology, as well as a growing body of research.

I attended the University of Oxford for my undergraduate studies, graduating with a distinction (1st class), and returned there for my graduate studies. I also hold degrees from Cardiff and Robert Gordon University Aberdeen, and have studied at the University of Leiden under an Erasmus programme. Today, I am board certified in public health, a Fellow of the Royal Society for Public Health and a member of several other learned societies.

I am currently a Practice Director for Biomedical AI/ML for HCLTech, where I advise the world's leading life sciences, medical devices and pharma companies on how to leverage AI/ML to improve their products and serve their customers better. I am also a visiting thesis supervisor for students on the data science track of the mathematics programme at the Budapest University of Technology and Economics.

As part of my service to the profession, I've been a reviewer for JOSS, Frontiers in Immunology and Frontiers in Medicine. Between 2022 and 2023, I served Virginia as a member of the Medical Reserve Corps, and currently serve in both the Rocky Mountain MRC of Denver and Colorado's radiation response MRC. I was also part of the COVID-19 Healthcare Coalition and the Covid Tracking Project.

You can find a list of my publications here. My work on COVID-19 has been featured in the media. I also write on various topics as the fancy strikes -- you can peruse my notebook here.

• Computational epidemiology: agent-based modelling, disease-avoidant behaviours, epidemics over dynamic networks, geospatial computational epidemiology -- all primarily in the context of infectious diseases
• Pharmacovigilance: VAERS, passive reporting, text mining of large complex report sets using LLMs
• Computational dynamics: computational dynamics of complex systems, computational dynamics of infectious diseases, computational dynamics of social systems
• Public health: evidence-based public health policy, public health ethics, public health law, quality and systems improvement in public health

I am a visiting thesis supervisor for students on the data science track of the mathematics programme at the Budapest University of Technology and Economics - you can read more about this here.

From time to time, I get invited to give talks and lectures. My capacity for this is somewhat limited due to other commitments, but if you are interested in having me speak at your event, please get in touch.

Tocilizumab in addition to standard of care in the management of COVID-19: A meta-analysis of RCTs. Mutua V, Henry BM, von Csefalvay, C, Cheruiyot I, Vikse J, Lippi G, Bundi B, Mong'are N. Acta Biomed. 2022, 93(1):e2022014. doi: 10.23750/abm.v93i1.12208.

JAMPI: Efficient matrix multiplication in Spark using barrier execution mode. Foldi T, von Csefalvay C, Perez NA. BDCC 2020, 4(4):32. doi: 10.3390/bdcc4040032.

VAERS data reveals no increased risk of neuroautoimmune adverse events from COVID- vaccines. von Csefalvay, C. medRxiv 2021. doi: 10.1101/2021.06.13.21258851.

Tuberculous polyserositis in endemic areas with an emphasis on empiric therapy: A case report. Munguti J, Mutua V, Cheruiyot I, von Csefalvay C, Opare-Addo P, Kiko N, Wanjiru R. Medicine: Case Reports. 2022, 3(4):e0221. doi: 10.1097/MD9.0000000000000221.

See more here.

The OR Society | Member since 2020

Royal Society for Public Health | Fellow since 2021

TOPRA | Registered Member since 2021

American Public Health Association | Member since 2021

I live in Denver, CO, with my Golden Retriever, Oliver. Born in Budapest, Hungary, I've spent my formative years in England, but have called the Netherlands, Germany, Belgium, Austria and the United States home at various points in my life. Since 2020, I've been living in the United States, where I am a permanent resident.

In my free time, I enjoy reading (mostly Cold War history and classical Greek drama), cooking (with not a lot of success) and Renaissance polyphony (esp. Thomas Tallis and Orlando di Lasso). I'm credited for a somewhat pretty sequence of integers called Jellyfish Heart numbers (OEIS A344856), which I discovered in 2020 while doing something that has nothing at all to do with my day job.

I live with neuromyelitis optica since 2015, which has left me with a lifelong desire to understand complex, multicausal health conditions like NMOSD better.

In what little is left of my free time, I'm an adaptive multisport athlete, competing in wheelchair rugby, adaptive rowing (category PR1) and the SkiErg (category SIT2). In the latter, I currently hold the world records for 100m, 500m, 2,000m, 6,000m, 21,097m and 42,195m distances and the 60 minutes time. I occasionally rant and whine about my forays in the world of adaptive exercise and my attempts at doing so in a mostly science-based manner.

My last name rhymes with Chick-Fil-A.