Hi, I am Danial. 

I am actively seeking job opportunities in optimization and machine learning. 

My current focus is on Reinforcement Learning and Large Language Models to automate complex tasks.

I am writing a book titled "Creative AI for discovery automation", which discusses fundamental optimization and machine learning methods, and how their combinations are used to discover creative solutions in complex applications (Book's website).

Over the past two years, I’ve been learning about business affairs in startups.

I obtained a PhD in Operations Research for Healthcare with several honors from the Isfahan University of Technology in Iran. During my PhD, I spent six months as a visiting PhD at the KU Leuven in Belgium. I pursued Postdoctoral studies at the University of Ottawa in Sequential Decision-making with Uncertain Parameters and at the University of Toronto in Reinforcement Learning and Deep Learning. 

I've published 6 papers in leading journals such as Transportation Science and Computers and Operations Research. Moreover, I've instructed 13 courses to undergraduate and graduate students, covering 10 distinct subjects in Operations Research, Machine Learning, Data Analysis, and Entrepreneurship.

I love sports activities. I run almost every day, and when I'm free, I enjoy swimming and playing tennis, badminton, and volleyball.

Recent News

• Oct 10, 2025: Sequential decision-making optimization chapter is out: PDF | 

• June 20, 2025: An introduction about creative AI is out: PDF | 

• Oct 21, 2024: I had a Job Talk on my recent home care paper and my current research interests in Creative AI at the INFORMS Annual Meeting, Seattle, US. 

• May 20, 2024: I gave a talk about my recent home care paper at Université Laval, Quebec City, Canada. 

• April 16, 2024: My Postdoc paper titled "Dynamic home care routing and scheduling with uncertain number of visits per referrals" has been accepted for publication in the "Transportation Science" journal, which is among the most prestigious journals in the transportation optimization field. This paper was rejected from the "Operations Research" journal in February 2023 in the second revision, receiving one acceptance, one minor revision, and one rejection.

• Dec 15, 2023: I attended three ML conferences as a listener: ICCC, June 20 – 23, 2023, University of Waterloo; ACL, July 9 – 14, 2023, Toronto; and NeurIPS, Dec 11 – 14, 2023, New Orleans.

• June 05, 2022: I presented "Dynamic time-dependent stochastic routing for hazardous materials transportation with a single vehicle" at INFORMS/CORS 2022 in Vancouver. We used a safe reinforcement learning method to solve the problem.