LAST CALL: Openings in my group in Harvard biostatistics for postdocs in 1) network community detection and 2) methods for analyzing smartphone / wearable / digital phenotyping data. academicpositions.harvard.edu/postings/11794 academicpositions.harvard.edu/postings/11795

A single approach that can recognise walking with a variety of body-worn devices regardless of walking style, sensor location and configuration is presented in this paper to estimate walking time, cadence and step count. nature.com/articles/s4174…

Our “one-size-fits-most” method for walking recognition using wearable accelerometers, smartwatches, and smartphones has just been published in npj Digital Medicine (rdcu.be/c6dGV, Open Access). Jukka-Pekka Onnela Emily Huang Key points below 👇

🆕Out in npj Digital Medicine: #wearable device and #smartphone data can track #ALS disease progression ✅: Wearable PA daily measures showed a statistically significant monthly decline and were significantly associated with both ALSFRS-RSE and ROADS scores nature.com/articles/s4174…

Excited to begin working on this new R01 study with such an amazing team. #digitalhealth #precisionmedicine #alcohol Dr. Katie Witkiewitz Jukka-Pekka Onnela

awesome new AnnRevClinPsych piece by Isaac Galatzer-Levy & Jukka-Pekka Onnela on machine learning and digital phenotyping in clinical psychology annualreviews.org/doi/full/10.11…

We used intensive longitudinal assessment to study the interaction between mobility, social activity and loneliness in individuals with severe mental illness during COVID-19. Linda Valeri Jukka-Pekka Onnela Lisa Dixon, MD, MPH Dost Öngür Russell Schutt nature.com/articles/s4153…

📢 It’s finally out! We used smartphones to sense social isolation in SMI patients during COVID and evaluate the implications on loneliness Jukka-Pekka Onnela Justin Baker Dost Öngür Lisa Dixon, MD, MPH Russell Schutt

Happy to have presented our latest digital phenotyping work in ET at the #ESSFN in Stockholm. Thanks to the entire Brigham and Women's Neurosurgery team.

Can smartphone-based assessments tell us who, how, and why people socially disconnect? I'll try my best to provide some clues tomorrow at the Center for Technology and Behavioral Health seminar.

⏪️ Accept that it will always be this way. ⏩️ Build something better. #UpdateTheSystem

2022: Crypto is dead. 2023: 425M people around the world own crypto. The future isn’t just coming → it’s already here. Find out how: coinbase.com/blog/the-futur…

Thank you all for continuing to build in 2023. Here’s to 2024 and beyond.

Bonjour la France. 🇫🇷 We’ve received approval in France as a registered VASP. This is an important market for us and represents another chapter in our Go Deep, Go Broad international strategy. Learn more: coinbase.com/blog/coinbase-…

We’re committed to working with French policymakers & regulators to bring the already-thriving local cryptoeconomy to new heights. We look forward to bringing the safest, most trusted name in crypto to retail consumers, institutional clients, and developer partners in France.

Jukka-Pekka Onnela Juan Harvard T.H. Chan School of Public Health USC 🚀 Is the kNN algorithm poised to transform data handling and insights discovery in large-scale medical cohort studies?"? Read more here: arxiv.org/abs/2402.01635 #DataScience #kNN

Suomalaiseen Tiedeakatemiaan on kutsuttu 21 uutta jäsentä. Tiedeakatemian jäseniksi kutsutaan ansioituneita tieteenharjoittajia. Uudet jäsenet edustavat laajalti suomalaista tieteen kenttää. Lämpimät onnittelut! 🌸 acadsci.fi/jasenet-katego…

My group in the Department of Biostatistics at Harvard is recruiting a new postdoc! This position involves developing statistical methods, data analytic tools, and mathematical models for analyzing smartphone data collected in biomedical research cohorts. academicpositions.harvard.edu/postings/13728

📢 finally out! We used a #socialnetwork perspective for #digitalphenotyping of social activity in a multi-year cohort and provide insights on loneliness in the SMI population Jukka-Pekka Onnela Justin Baker Dost Öngür Lisa Dixon, MD, MPH Xiaoxuan Cai NPP-Digital Psychiatry and Neuroscience👇🏼 rdcu.be/dONJS

🎙️In this podcast with Stats-of-1 I talk about causal inference approaches for intensive digital data that can inform the care of mental health. Grateful to do this work with a dream team 🙌🏼✨Jukka-Pekka Onnela Justin Baker Dost Öngür Charly Fowler Xiaoxuan Cai Lisa Dixon, MD, MPH