I am a PhD student in Mathematical Statistics at Umeå University (started August, 2020). Having a doctoral position funded by Wallenberg foundation/WASP (Wallenberg, AI Autonomous Systems and software Programming), I have been involved in many practical/theoretical projects during my graduate studies. To name a few, distributed programming, bayesian learning, language models, supervided learning, and reinforcement learning. I have practical experience with Probabilistic Circuits (PCs) as generative models, transforers, and CNNs. Comming from a signal processing background, my theoretical research interests involve compressed sensing, sampling, inverse problems, accelerated methods in optimization, and difference of convex programming. Currently, I am exploring a subclass of difference of convex optimization algorithms to find connections with constrained optimization algorithms.

Latest News

[January, 2025] I am delighted to inform that I was selected to serve as a reviewer in ICML 2025.

[November, 2024] My journey in Pendulum Systems was amazing. During my internship, I had the honor to receive supervision from Vahid Rostami. Together with Vahid, Alp Yurtsever, and Suvrit Sra, we successfully implemented an end-to-end optimization scheme for more efficient resource allocation. Several tests on real datasets suggested potential future for such optimization techniques. As my internship comes to an end, I’d like to thank Pendulum Systems for all the great experiences. I’ll defintely miss working with such professional team and the great leader, Benjamin Fels.

[October, 2024] My course on Transform Methods (Digital Signal Processing) for this semester will begin on half-speed from November,2024.

[September, 2024] I am delighted to inform that I was selected to serve as a reviewer in ICLR 2025.

[September, 2024] I am delighted to inform that I was selected to serve as a reviewer in AI-STATS 2025.

[June, 2024] I joined EURO and EUROPT 2024 in Lund. There I gave a talk on a new conditional gradient type method called DC-Frank Wolfe.

[March, 2024] I am thrilled to announce that I started an internship program as Student Researcher in the R&D Laboratory of Pendulum Systems.

[January, 2024] I am delighted to inform that I was selected to serve as a reviewer in ICML 2024.

[December, 2023] I am thrilled to announce that I was granted travel funds from Wallenberg AI,Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation.

[December, 2023] I am thrilled to announce that I was granted travel funds from JC Kempe Memorial Scholarhip Foundation.

[September, 2023] I am delighted to inform that I was selected to serve as a reviewer in ICLR 2024.

[September, 2023] My paper titled: A Variational Perspective on High-Resolution ODEs was accepted for publication in NeurIPS 2023. This was a joint work with Konstatinos Zygalakis (Edinburgh University) and Alp Yurtsever (Umeå University).

[August, 2023] I am delighted to inform that I was selected to serve as a reviewer in NeurIPS 2023.

[August, 2023] I had a productive week at EURopt 2023 Summer school in Budapest. There we had the opportunity of spending a day with Prof. Russel Luke and Prof. Coralia Cartis. I also presented my recent research entitled “A Variational Perspective on High-Resolution ODEs” in the EURopt 2023 workshop.

[May, 2023] I started my recent project on Probabilistic Circuits (PCs). The aim is to use PCs as generative models which guarantee exact inference. Having priors generated from the PC, we leverage a Bayesian framework to recover noisy images.

[May, 2023] During my visit to the UK I will also visit the department of Mathematics in Oxford University and the Imperial College London. I will visit Prof. Jared Tanner in Oxford University and Prof. Tolga Birdal in Imperial College London.

[February, 2023] I will go on a research visit to Edinburgh University. There I will be working on the mysterious acceleration phenomenon in first-order methods together with Konstantinos Zygalakis.