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Blockchain Programme Manager and Senior Researcher @Blockchain-Technology-Lab | PI @soal-sharif | Math/CS Prof. (Asst.) @ SUT | EE Ph.D. @ Stanford🎓
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incentivus
Data Scientist
June 24, 2026 – Present
chemotherapy
November 27, 2024 – Present
The repository can re-generate the learning curves, wall-clock times and policy heat-maps reported in the article: "Physics-guided deep reinforcement learning for personalized PDE control in cancer therapy optimization."
View ProjectLightning-Network-Centralization
October 5, 2023 – August 29, 2024
Lightning-Network-Centralization — repository
View ProjectCompressRTP
February 17, 2023 – April 4, 2025
Compressed Radiation Treatment Planning [NeurIPS'24, MP'2025, PMB'23]
View ProjectIncentivus
May 21, 2019 – March 14, 2020
Redesigned Binance DEX match engine to make it even more autonomous and decentralized by in-protocol mechanisms which reduce the risk of relying on validators to choose the transactions to be included in a block
View Projectfee
April 9, 2019 – August 8, 2021
Designed an attack for Vitalik's EIP 1559 and proposed an alternative transaction fee pricing protocol based on the Almgren-Chriss framework and median price auctions
View ProjectsparseQFCA.jl
January 14, 2019 – July 18, 2025
Developed a registered Julia package which quantifies the redundancies in genome-scale metabolic networks and provides local sparse certificates which are both efficiently verifiable and interpretable
View Projectswiftcore
October 2, 2018 – March 3, 2022
Accelerated the state-of-the-art in genome-scale metabolic network reconstruction more than 10 times by convex optimization techniques such as factorization, approximation, and regularization
View Projectqfca
October 8, 2017 – January 5, 2022
Compressed biological systems of tens of thousands of biochemical reactions by a hierarchical organization of pathways which speeds up the downstream analysis up to 3 times in addition to saving memory and storage space
View ProjectCOBRA.jl
October 25, 2016 – April 26, 2023
High-level, high-performance, constraint-based reconstruction and analysis in Julia
View ProjectCultural Fit Analysis
The candidate's project portfolio is highly diverse, spanning bioinformatics, medical physics, decentralized finance, and optimization. This breadth of interest and ability to work across different domains suggests adaptability and a strong learning orientation, which can be a good cultural fit for dynamic environments. The focus on personal projects, some with academic publications, indicates a research-driven and self-starter mindset. The target role of 'Data Scientist' aligns well with the quantitative and analytical nature of the projects.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong drive for innovation and problem-solving, often tackling complex, research-oriented challenges. The focus on personal projects indicates self-motivation and initiative. However, without psychometric or English test results, it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration skills.