Welcome to my webpage!

I am a Senior Applied Scientist at Oracle, developing the digital assistant technology using generative AI. I finished my PhD at the University of Melbourne, working under the supervision of Dr. Sarah Erfani and Prof. Christopher Leckie. Previously, I was a postdoctoral research fellow in machine learning at the University of Melbourne node of ARC Centre of Excellence for Automated Decision-Making & Society (ADM+S).

Mesmerized by generative models, I try to formulate various problems through the lens of generative modeling and bring that statistical perspective to them. In this area, I have an expertise with

• Normalizing Flows
• Generative Adversarial Networks (GAN)
• Probabilistic Diffusion Models (Score Matching)

Besides my in-depth experience with generative modeling, I have worked and am interested in the following areas:

• Adversarial Machine Learning (Adversarial/Backdoor Robustness/Attack)
• Coreset Selection
• Compressed Sensing
• 3D Reconstruction

I am always happy to discuss research-related topics. Just shoot me an email! :)

News

• Jan. 2024: Started as a Senior Applied Scientist @ Oracle!
• Dec. 2023: AVATAR is accepted to SatML2024! Details to follow.
• Dec. 2023: I am going to serve as an emergency reviewer for CVPR2024!
• Oct. 2023: Gave a guest lecture on Security and Privacy in Aligned Language Models at the University of Melbourne.
• Oct. 2023: Attneding the ICCV2023 in Paris!
• Sep. 2023: Got recognized as an “outstanding reviewer” at ICCV2023!
• Sep. 2023: Attended the Technical University of Kaiserslautern and ITWM Fraunhofer as my AINet visit to Germany.
• Aug. 2023: Our team was placed 2nd in the ADM+S Hackathon on Bias in LLMs!
• Jul. 2023: Our work got accepted at the International Journal of Computer Vision (IF=19.5)!
• Jul. 2023: Attending the ADM+S Symposium on AI in News and Media in Sydney!
• Jun. 2023: Going to serve as an emergency reviewer for NeurIPS2023!
• May. 2023: Officially graduated from the University of Melbourne PhD program.
• Apr. 2023: I have been selected for the DAAD AINet Fellowship in Germany!
• Apr. 2023: The final version of my thesis is online on Minerva!
• Mar. 2023: New preprint on unlearnable examples is out!
• Mar. 2023: Received the examination results of my PhD thesis with two straight passes!
• Feb. 2023: Attending the ADM+S Summer School at Melbourne Musuem as a mentor.
• Jan. 2023: Going to serve as a reviewer for ICML2023 & ICCV2023!
• Dec. 2022: Got recognized as an “outstanding reviewer” at ACCV2022!
• Dec. 2022: Attended ACCV 2022 (virtually).
• Dec. 2022: Submitted my PhD thesis!
• Nov. 2022: I am starting my new position as a “Research Fellow in Machine Learning” at the University of Melbourne and ARC Centre of Excellence for Automated Decison-Making and Society (ADM+S)
• Oct. 2022: Presented my work on adversarial coreset selection at ECCV virtually.
• Oct. 2022: Participated at CIS-UniMelb doctoral colloquium.
• Sep. 2022: One paper got accepted to ACCV2022!
• Aug. 2022: I would be reviewing for ICLR2023, AISTATS2023, and ACCV 2022.
• Jul. 2022: One paper got accepted to ECCV2022!
• Jun. 2022: I would be reviewing for NeurIPS2022.
• Jan. 2022: Finished my internship @ Amazon!
• Aug. 2021: Started as an applied scientist intern @ Amazon!
• Jun. 2021: I would be reviewing for INNF+, NeurIPS2021, and ICLR2022.
• Dec. 2020: I am going to present AdvFlows at the NeurIPS Pre-conference in Australia.
• Oct. 2020: AdvFlows blog post is available online.
• Sep. 2020: AdvFlows are accepted to NeurIPS2020!
• Aug. 2020: Presented (virtually) my work at AISTATS2020.
• Jul. 2020: Attended (virtually) Machine Learning Summer School (MLSS2020) at Max Planck Institute in Tuebingen.
• Jun. 2020: A short version of my recent work was accepted to INNF+.
• Jan. 2020: Linear Rational Spline flows got accepted to AISTATS2020!
• Jun. 2019: Started my PhD at the University of Melbourne.