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  • University of Technology Sydney

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@bricksdont
Mathias Müller bricksdont

University of Zurich Switzerland

@tlbbd-sp2018
Targeted Learning in Biomedical Big Data (Spring 2018) tlbbd-sp2018
A course in Targeted Learning, offered as Public Health 290 in Spring 2018, with Prof. Mark van der Laan

Berkeley, CA

@wangshusen
Shusen Wang wangshusen

New Jersey, USA

@lmz123321
Mingzhou Liu lmz123321
Ph.D. Candidate@PKU-CFCS

Peking University BeiJing

@vanderschaarlab
van_der_Schaar \LAB vanderschaarlab
We are creating cutting-edge machine learning methods and applying them to drive a revolution in healthcare.
@Yikai-Wang
Yikai Wang Yikai-Wang
Postdoc

Meta London

@lmyint
Leslie Myint lmyint

Macalester College St. Paul, MN

@causalNLP
CausalNLP causalNLP
Repo of research projects to bridge causality and NLP. By Zhijing Jin (https://zhijing-jin.com) and many awesome collaborators.
@UChicago-pol-methods
Quantitative Political Methodology at the University of Chicago UChicago-pol-methods

United States of America

@doeun-kim
Doeun Kim doeun-kim
Postdoctoral Research Associate, Niehaus Center for Globalization and Governance, Princeton University

Princeton University Princeton

@syanga
Alan Yang syanga

Stanford University Stanford, CA

@AngelChen6
AngelChen6
@lovelyqian
Fu Yuqian lovelyqian
Research Scientist @ INSAIT

INSAIT Sofia

@uhlerlab
uhlerlab
@saintmiracle06
Yuan Zhao saintmiracle06
PhD Student

New York University New York

@yarinbar
Yarin Bar yarinbar
@blei-lab
Blei Lab blei-lab
We are malleable but resistant to corrosion.

New York, NY

@Causal-Inference-Study
Causal-Inference-Study Causal-Inference-Study

Korea, South

@wusan579
wusan579
@optsuite
Zaiwen Wen optsuite
Zaiwen Wen is a Professor at Peking University. His research interests include optimization algorithms and theory and their applications in machine learning.

Peking University Beijing, China

@naiq
xue[L]in naiq

Northwestern Polytechnical University Xi'an

@elviswf
Elvis elviswf
Keep calm and focus on the matter at hand.

DNV Shanghai, China

@WeiXiongUST
Wei Xiong WeiXiongUST
Ph.D. Student in computer science at UIUC; machine learning theory and RLHF.
@SuLvXiangXin
SuLvXiangXin(SII) SuLvXiangXin
A Student in SII and Fudan University. SII is an institution dedicated to innovation in education and research in the field of AI.

SII Shanghai

@FurongHuang
Furong Huang FurongHuang

Maryland

@lorenzoFabbri
Lorenzo Fabbri lorenzoFabbri
Postdoctoral fellow in gynaecological oncology. Causal triangulation.

ISGlobal Barcelona

@callmespring
Chengchun Shi callmespring
Associate Professor of Data Science @ LSE

LSE

@CausalInferenceLab
가짜연구소 Causal Inference Team CausalInferenceLab
안녕하세요. 가짜연구소 Causal Inference 팀입니다!

Korea, South

@JurrivhLeon
Junyi Liao JurrivhLeon

School of Data Science, Fudan University Shanghai

@kelizhang
Keli Zhang kelizhang
AI Research Engineer

@huawei-noah Paris,France

@ymy4323460
Mengyue Yang ymy4323460
Department of Computer Science, University College London
@ZJU-BMI
ZJU-BMI ZJU-BMI
@nathankallus
nathankallus
@lyhue1991
一个有毅力的吃货 lyhue1991
INTP；Trainer of dragons and models 😋😋

HUST Beijing China

@hanqi-qi
hanqi-qi

King's College London United Kingdom

@js05212
Hao Wang js05212
Assistant Professor in the Department of Computer Science at Rutgers University. Previously Postdoc in Machine Learning at MIT.

Rutgers

@eleanormurray
Eleanor (Ellie) Murray eleanormurray
Epidemiologist & causal inference methodologist. Topics: design and analysis of randomized trials; causal simulation models. Diseases: HIV, CVD, mental health

Boston University School of Public Health

@datawhalechina
Datawhale datawhalechina
for the learner，和学习者一起成长
@XAIStudyGroup
XAIStudyGroup XAIStudyGroup
Explainable AI study group aims to create a low-pressure, peer-mentoring learning space for students to get together and learn explainable AI technique.

School of Information Science, UIUC

@saramagliacane
Sara Magliacane saramagliacane

University of Amsterdam Amsterdam

@christinaheinze
Christina Heinze-Deml christinaheinze
I am a Research Scientist at Apple Health AI. My research interests include causality, distributional robustness and deep representation learning.
@PKU-ML
PKU-ML
@dobriban
Edgar Dobriban dobriban
Associate Professor of Statistics & Computer and Information Science. Interested in stats and ML. Course notes, software, and code to reproduce papers.

The Wharton School, University of Pennsylvania Philadelphia, PA

@apoorvalal
Apoorva Lal apoorvalal
Applied Econometrics, CausalML, Unix sundries

/dev/null

@Velythyl
Charlie Gauthier Velythyl
Charlie Gauthier, master's student at Mila/UdeM. ML, RL, robotics, and functional programming are my main interests.

Montreal, QC, Canada

@LSTM-Kirigaya
锦恢 LSTM-Kirigaya
AI HPC & EDA tech & CV Algorithm & DRL & Web & Design & TTS application & Compiler Dev

USTC hangzhou, China

@rguo12
Ruocheng Guo rguo12
ML Researcher @ Intuit

Mountain View

@bryangraham
Bryan S. Graham bryangraham
Professor of Economics / Econometrician

University of California - Berkeley Berkeley, CA

@PraharshitaK-IS
Praharshita Krishna PraharshitaK-IS

PhD Student @ IIMA Ahmedabad

@r-causal
Causal Inference in R r-causal
Tools and educational material for causal inference in R