Han Chiu

Asst. professor at Brown University School of Public Health, #causalinference, #epidemiology

[Han Chiu @HanChiu_]

Honored to give a workshop and keynote at #NordicEpi #NorPEN 2026 in Tromsø. The workshop focused on target trial emulation in pregnancy research; the keynote on improving causal inference by design for complex public health questions.

[Shuyuan Yang @syyang291]

Excited to contribute to a workshop on target trial emulation in pregnancy research with @HanChiu_ . We covered sequential trials, immortal time bias, point/sustained strategies, artificial censoring, and IPW. #TargetTrialEmulation #CausalInference #Pregnancy #NordicEPI #NorPEN

[Shuyuan Yang @syyang291]

Excited to contribute to a workshop on target trial emulation in pregnancy research with @HanChiu_ . We covered sequential trials, immortal time bias, point/sustained strategies, artificial censoring, and IPW. #TargetTrialEmulation #CausalInference #Pregnancy #NordicEPI #NorPEN

[Han Chiu @HanChiu_]

@yihansheu @jorsmo Congrats!!

[Han Chiu @HanChiu_]

@l_farland @NICHD_NIH @NIH_ORWH @UAZHealth @UAZPublicHealth @UAZCancer Congrats Leslie and Dalia!!

[Han Chiu @HanChiu_]

@cardenaasca @NoraFranceschi2 Congrats, Andres!!

[CAUSALab @CAUSALab]

CAUSALab Director @_MiguelHernan delivered the keynote, “Causal inference and Al. What can we learn from data and how much learning can we
automate?" today at ACE 2024 Annual Meeting.

Dr. Hernán introduced this year’s focus on AI & epidemiological research @Join_ACE. #causal

[Kun-Hsing Yu @kunhsingyu]

Excited to share that our paper on a foundation AI model for cancer prognosis and pathology diagnosis is published in Nature today. https://t.co/HShXzxVeZE @HarvardDBMI @NIH @NIGMS @CDMRP @AmericanCancer #AI #DigitalPathology

[Han Chiu @HanChiu_]

@PWGTennant @JulioCZuniga1 @NIGMS @PennState @PennStHershey Thanks, @PWGTennant! Just re-read your paper on change scores today!

[Han Chiu @HanChiu_]

🎉 Excited to share that my NIH R35 grant on causal inference methods for treatment heterogeneity has been funded! Grateful for the support from my mentors and colleagues! 🙌 @NIGMS @PennState @PennStHershey #CausalInference

[Han Chiu @HanChiu_]

@l_farland @NIGMS @PennState @PennStHershey Thank you, @l_farland ! Great seeing you at SER!

[Han Chiu @HanChiu_]

@cardenaasca @NIGMS @PennState @PennStHershey Thanks, @cardenaasca ! :-)

[Han Chiu @HanChiu_]

@stefaniapapath2 @NIGMS @PennState @PennStHershey Thank you, @stefaniapapath2 !!

[Han Chiu @HanChiu_]

@EpiEllie @NIGMS @PennState @PennStHershey Thank you, @EpiEllie !

[Deirdre Tobias, ScD @deirdre_tobias]

Glad to see our efforts in print! 🙌@daniel_ibsen @LajousMartin @HanChiu_ Dalia Stern, Conor MacDonald

[Guanbo Wang @Guanbo17]

We developed an estimator to improve the efficiency of RCTs by integrating extetnal controls, which is consistent even if the transportability assumption does NOT hold. Pharmas can finally use the external control worry-free!

https://t.co/WzXuU3LriB

[Dept. of Biostatistics, Epidemiology & Informatics @UPennDBEI]

See Dr. Miguel Hernan present at the Conference on Big Data in Biomedical and Population Health Sciences. Miguel Hernan, MD, DrPH, (@_MiguelHernan) is the Director of the CAUSALab (@CAUSALab) at Harvard T.H. Chan School of Public Health (@HarvardChanSPH).
https://t.co/Eh2Xfffxvb

[CAUSALab @CAUSALab]

New research published @AnnalsofIM challenges past scholarship on #metformin.

CAUSALab research collaborator @HanChiu_ identified no increased risk for childbirth with major birth defects when compared w/ women who discontinued the drug.

CNN article: https://t.co/J3dGcnKhSG

[Miguel Hernán @_MiguelHernan]

With #TargetTrial emulation becoming increasingly popular, it's important to understand what it can and cannot do.

In this new podcast, I discuss how target trial emulation can 1) improve causal inference from observational data, and 2) extend inferences from randomized trials.

[Dhruv Kazi @kardiologykazi]

A blanket ban on the use of causal language in observational studies has long precluded nuanced discussion about which associations, if any, are truly causal

Fantastic work by Issa Dahabreh (@CAUSALab @SmithBIDMC) and @KBibbinsDomingo changes this

https://t.co/pXd9eCbgTR

[Stefania Papatheodorou @stefaniapapath2]

My lab is hiring a post-doctoral fellow. If you are interested in working with big data, pregnancy, childhood, and climate, please apply! https://t.co/h5FrbGnzhI