Cong (Clarence) Jiang

Postdoctoral researcher at HSPH 🎓 | PhD in Statistics & Actuarial Science from @UWaterloo | Connect with me on my website ⬇️

[Cong (Clarence) Jiang @statsCong]

The thesis for my PhD has been uploaded to UWSpace: CONG JIANG (2022). Dynamic Treatment Regimes with Interference. UWSpace. https://t.co/kn8EQbkqBD

[Lars van der Laan @LarsvanderLaan3]

🚨Petej and Vovk have extended Venn–Abers predictors from binary classification to general regression settings

[Yoichi Chikahara @yoichi_chika]

My single-author paper, "Moment Matters: Mean and Variance Causal Graph Discovery from Heteroscedastic Observational Data", has been accepted to #KDD2026 !! 🎊🙌😃😆😁🎉
https://t.co/HjPIpN5wuD
I propose an interpretable, moment-driven causal discovery 🤖 See you in Jeju !🏝️😄🇰🇷

[Lars van der Laan @LarsvanderLaan3]

@0kkus0 Essentially all tools developed for causal inference in RCTs can be adapted to PPI with only minor notational changes. A strong translational treatment and literature review would make that clear and help connect the two literatures rather than separating them.

[Tomoki @0kkus0]

同じラボ（というと厳密ではないが）のポスドクが条件付き PPI, Prediction-Powered Conditional Inference を提案しています。
https://t.co/KudMlaXdTN
ある種ファジーなPPIに、この指導教官（若手の結構有名な准教授）の専門がゴリゴリ組み込まれているのが面白いです。これでCATEとかもPPIできそう

[Lars van der Laan @LarsvanderLaan3]

Interesting idea, they appear to augment IPW…

[Stat.ML Papers @StatMLPapers]

Prediction-Powered Inference with Inverse Probability Weighting https://t.co/z6OoaUzFZD

[Yuxiang Wei @YuxiangWei9]

Wow this is smart: per-token feedback, no manual reward design, applicable to partial trajectories in principle, all pain points of outcome RL. so curious to see it being applied at scale or combined with existing RL algos

[Gautam Kamath @thegautamkamath]

Derek is the Founder/Chairman and Chief Education Technology Scientist at Squirrel Ai Learning, a top AI-Unicorn from China. He's also chair of the IEEE Standard Group for LLM Agent for AI-powered education. He was the cover story of Forbes China in 2024.

[Tim G. J. Rudner @timrudner]

If you're a senior researcher (i.e., associate professor or more senior), and you'd consider moving to the University of Toronto to take up a Canada Impact+ Research Chair (1 million/year in funding), email me. Discretion guaranteed.

++Please share to help me spread the word!++

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

New research examines how evidence-based advocacy influences FDA drug labeling, highlighting the intersection of science, policy, and regulatory decision-making.

Read more: https://t.co/j1WxdqzTAF

[Ray Bai @raybai07]

Grading my final exams for undergrad probability & statistics, and this response to one of my questions seriously made me laugh out loud for minutes. Should I give Extra Credit for the student's response? "Bob, you are a fool amongst fools."😂😂😂

[福田治久 @LIFE_STUDY_PR]

レセプトデータのvalidation studyを加速化させるためのプラットフォーム（CLEAR Study）を開発しました！
今後，validation studyにも注力してまいります．ターゲット疾患に関するご相談はLIFE Studyウェブサイトから（https://t.co/3LsEpWc8To）ご連絡ください！

[CTML - Center for Targeted Machine Learning @BerkeleyCTML]

Thank you to Antonio Remiro Azócar for presenting his talk "Data Fusion for Indirect Treatment Comparisons in Health Technology Assessment" as part of the JICI Lab Seminar Series on 12/2/2025. To learn more about Antonio's work, please scan the QR code.

[Alfredo Canziani @alfcnz]

My @NYUDataScience colleague, Carlos Fernandez-Granda, released the 700-page textbook «Probability and Statistics for Data Science», where he condenses 10 years of teaching experience at @NYUniversity.
200 exercises, 102 notebooks, 115 videos! 🥳🥳🥳
https://t.co/AlgtB1fBas

[Edwin S.H. Leong Centre for Healthy Children @LeongCentre]

✨Join the next Health Systems and Policy Research Collaborative Centre Rounds on July 10 to learn about population preferences on health inequality and explore inequality aversion studies from both Australia and Canada. 🇦🇺🇨🇦

Register: https://t.co/ono9NuX17P

@UHN_Research

[Keenan Crane @keenanisalive]

Jensen's inequality gives the difference between the average value of a convex function φ, and its value at the center, where both “average” and “center” are defined in terms of some distribution p_X.

When the function φ is flat, or the distribution is narrow, they agree.

[Yiqing Xu @xuyiqing]

Draft “A Practical Guide to Estimating Conditional Marginal Effect: Modern Approaches” is on arXiv: https://t.co/4bu9UJNnpW

w/ @Jiehan_Liu & @liuziyi233 🧵

[medRxiv @medrxivpreprint]

A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Quebec Administrative Data https://t.co/EPozc6xNri #medRxiv

[Math Cafe @Riazi_Cafe_en]

Harvard's "Advanced Calculus" by Lynn H. Loomis & Shlomo Sternberg

PDF: https://t.co/U8ZM4Whwlp

[Keenan Crane @keenanisalive]

Entropy is one of those formulas that many of us learn, swallow whole, and even use regularly without really understanding.

(E.g., where does that “log” come from? Are there other possible formulas?)

Yet there's an intuitive & almost inevitable way to arrive at this expression.