Loved this episode of reflection, especially @publichealthpod.bsky.social as a podcast asking and answering questions, with experts from a range of fields who are consider multiple angles and dig into the evidence. Conversations and sources of information like this are more important than ever.

Great opportunity to join us at JHU!

A great opportunity for folks interested in data science + AI; lots going on at Hopkins in this area! Spread the word and apply!

Sharing for awareness of my education research crowd friends -- spread the word and apply!

My attempts to help summarize why it's so hard to study things like whether there's a causal link between acetaminophen + autism.

Does taking Tylenol during pregnancy cause autism in children? @bklee.bsky.social and @lizstuart.bsky.social break down the science of causality on Public Health On Call 🎧 podcast.publichealth.jhu.edu/953-interpre...

Starting in a couple of hours; join us!

So fun to come across this! It has been an honor and joy to work with Grace on topics that include proximal causal inference, electronic health records, and measurement error. She is a careful and excellent researcher, and an amazing team member!

This was an incredible story to hear on my run this morning and has stayed with me. Meaningful, interesting, and inspiring.

I appreciate the push for research at the end of the story about AI + education. But it doesn't clarify who will pay or do that needed research -- with the gutting of the federal education research agency (IES) it's not clear there will be unbiased groups to do it. www.nytimes.com/2025/07/09/b...

I am grateful for this coverage. Fiona is a friend and sadly just one example of many devoted public servants (who I know personally to be deeply committed, smart, and caring) whose expertise we are currently losing from the government.

@noahgreifer.bsky.social was my post-doc and I cannot recommend him more highly if you need a super smart statistical consultant / programmer. He is the force behind MatchIt, cobalt, and other packages, and is also just a fantastic team member.

Excited for what will be a flash trip to New England in mid-June for the AI + precision medicine conference in Portland, ME, followed by the Society for Epi Research in Boston! Join me at both!

Great way to learn the basics of policy trial emulation and the importance of careful study design for health policy!

This is so important. And especially in non experimental studies where bias - not variance - is the first order concern.

Great way to learn the basics of policy trial emulation for free! Paper here: pubmed.ncbi.nlm.nih.gov/39374529/

This has been one of the most meaningful and rewarding (and sobering) collaborations I have been involved in, especially the integration of advanced stat methods and deep substantive expertise. Crucial empirical data and results that we hope can inform policy discussions.

The WSJ editorial board out with a piece today opposing confirmation of RFK, Jr. www.wsj.com/opinion/rfk-...

Sad to be missing the opportunity to cross country ski in DC but can’t really complain about being at #ICHPS. Already have run into many friends and ran on the beach!

Let us start 2025 in a positive mood: here are 10 methods things researchers can worry *less* about in 2025

There are worse places to have to be very early in the morning. Excited to spend the day talking causality at Penn!

I’m excited by many speakers at the Bloomberg American Health Summit - needed inspiration for those of us in public health - and especially fun to see @annieandrewsmd.bsky.social live, talking about gun violence prevention and how to normalize discussions of gun safety along pediatricians.

A busy day today -- excited for the Bloomberg American Health Initiative summit, and sneaking out mid-day to do this (free) webinar on causality + interdisciplinarity! community.amstat.org/discussion/t...

Great group to work with, including me!

Glad to be in Cape Town for timely conversations about data and evidence.

The Johns Hopkins Data Science and AI Institute is looking for post-docs! Flexible topics; applications due January 6. ai.jhu.edu/postdoctoral...

My collaborator Laura Samuel is looking for a post-doc -- great fit for someone interested in social policy and quant methods (the great team also includes Bonnie Swenor, Sarah Szanton and me): apply.interfolio.com/158809

Another job posting! This time for finance staff folks. @jhubiostat is looking for a Sr. Grants and Contracts Analyst to provide support on pre-award and post-award functions. Join us! jobs.jhu.edu/job/Baltimor...

I'm hiring! I'm looking for a masters-ish level person to help with research coordination, data management, and analyses. Interesting methods and substantive projects, a fun work environment, and a great team! Please spread the word! jobs.jhu.edu/job/Baltimor...

Thankful to be heading into a break but rejuvenated by 3 days talking generalizability @ICERM @BrownUniversity, inc in-person time with post-docs who work remotely and with many colleagues who have become friends.

@JohnsHopkins is looking for the Inaugural Director of the new Data Science [and AI] Initiative -- an amazing opportunity to build computing and research in AI across the University, including bridges to public health, medicine, etc. Spread the word! www.imsearch.com/open-searche...

Looking forward to this mtg 11/17-19 in PVD -- join to talk about generalizability, transportability, external validity, domain shift, etc. (whatever you want to call it). Online registration free and open; some in-person slots available, w/some funding. Apply here: icerm.brown.edu/events/htw-2...

An excellent use of my first post here to advertise our open positions at Hopkins biostat! It's a great, collegial, invigorating place -- spread the word and come join us! Tenure track: apply.interfolio.com/129236 Education focused: apply.interfolio.com/104974