About me
I am a PhD candidate at the Institute of AI in Management, LMU Munich. I do causal machine learning research under the supervision of prof. Stefan Feuerriegel.
I believe in the data-driven automation and human-computer cooperation โ they should become the main booster of sustainable development and inclusive society.
My research interests include
- Causal Machine Learning / Treatment Effect Estimation
- Causal Inference
- Probabilistic Modelling
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News
2024
- โ๏ธ [Jul 2024] Attending ICML 2024 in Vienna, Austria
- ๐งโ [Jul 2024] Attending relAI retreat 2024 & presenting Nature Medicine paper โCausal machine learning for predicting treatment outcomesโ in Miesbach, Germany
- ๐ค [Jun 2024] Presenting Nature Medicine paper โCausal machine learning for predicting treatment outcomesโ at the Tissue Image Analytics (TIA) seminar (University of Warwick)
- โ๏ธ [May 2024] Attending ICLR 2024 in Vienna, Austria
- ๐ [May 2024] 1 paper accepted at ICML 2024: Fair Off-Policy Learning from Observational Data
- ๐ [Apr 2024] A paper published in Nature Medicine: Causal Machine Learning for Predicting Treatment Outcomes
- ๐ [Feb 2024 - May 2024] Attending van der Schaar Lab at the University of Cambridge as a visiting PhD student
- ๐ [Jan 2024] 3 papers accepted at the ICLR 2024: A Neural Framework for Generalized Causal Sensitivity Analysis (poster); Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation (poster); Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation (spotlight)
- ๐ค [Jan 2024] Presenting the pre-print โBounds on Representation-Induced Confounding Bias for Treatment Effect Estimationโ at the 2nd Munich CausalML Workshop
2023
- ๐ [Nov 2023] Designated as a top reviewer at NeurIPS 2023
- ๐งโ [Nov 2023] Attending relAI retreat 2023 in Chiemsee, Germany
- ๐ผ [Oct 2023] Attending Zuse Schools autumn event 2023 in Dresden, Germany
- ๐ [Sep 2023] 3 papers accepted at NeurIPS 2023: Sharp Bounds for Generalized Causal Sensitivity Analysis (postrer), Reliable Off-Policy Learning for Dosage Combinations (poster), Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model (spotlight)
- โ๏ธ [Jul 2023] Attending ICML 2023 at Honolulu, Hawaii, USA
- ๐ซ [Jul 2023] Attending Munich Econometrics Workshop 2023 in Munich, Germany
- ๐ซ [Jun 2023] Attending Nordic Probabilistic AI School 2023 as a participant and teacher assistant
- ๐ [Jun 2023] Joined Konrad Zuse School of Excellence in Reliable AI (relAI) as an Associated PhD student
- ๐ค [May 2023] Presenting ICML 2022 & 2023 papers at the 1st Munich CausalML Workshop
- ๐ [Apr 2023] Designated as a top reviewer at AISTATS 2023
- ๐ [Apr 2023] 1 paper accepted at ICML 2023: Normalizing Flows for Interventional Density Estimation
- ๐ค [Feb 2023] Presenting ICML 2022 paper โCausal Transformer for Estimating Counterfactual Outcomesโ at the Causality Discussion Group
2022
- ๐ [Nov 2022] 1 paper accepted at AAAI 2023: Estimating Average Causal Effects from Patient Trajectories
- ๐ [May 2022] 1 paper accepted at ICML 2022: Causal Transformer for Estimating Counterfactual Outcomes
2021
- ๐ [Jun 2021] Started a PhD under the supervision of prof. Stefan Feuerriegel at the LMU Munich