Amir Kolic

Amir Kolic is a mathematics and machine-learning researcher from Bijelo Polje, Montenegro. He represented Montenegro at the International Mathematical Olympiad in 2019, 2020, 2021 and 2022, earning honourable mentions in 2020, 2021 and 2022, and won a Golden Diploma at the 2020 International Junior Mathematics Challenge. He attended the "Miloje Dobrasinovic" Gymnasium before completing the International Baccalaureate at United World College Mostar, where he founded the mathematics team and helped prepare students for competitions. He studied at MIT (Course 18 mathematics, with a minor in finance; a double degree spanning mathematics, computer science, data science and economics is also reported), graduating in May 2026 and continuing to master's study at MIT focused on artificial intelligence and machine learning. He does research in MIT's Poggio lab and co-authored an arXiv paper on weight decay and training stability (2026). He rowed on the MIT heavyweight crew (2022-23, 2023-24) and volunteers with MIT ESP. A July 2026 interview states he was then interning in New York, having interned in Berlin the previous year; the employers are not named in that source.

Notes7

• Quant employment verification: UNRESOLVED. A people-index lead (not a primary source) lists 'Amir Kolic' as Quantitative Researcher at Citadel Securities starting 2026-06; no primary-source page (LinkedIn, Citadel, resume) has been read that confirms this role. Citadel Securities is a genuine quantitative market-maker. Verification pending.Sep 17, 2026
• Quant employment verification: UNRESOLVED. A July 2026 primary-source interview states Kolic was then interning in New York and had interned in Berlin the previous year, but names neither employer. A people-index lead (not primary-source confirmation) lists 'Amir Kolic' as Quantitative Researcher at Citadel Securities starting 2026-06; Citadel Securities is a genuine quantitative market-maker, and the timing/New York location are consistent, but no primary source read here names Citadel or any quantitative-finance employer. No confirmed past/present quantitative-finance role can be established.Jul 14, 2026
• Confirmed a summer 2026 internship in New York and a 2025 internship in Berlin (employers unnamed in the interview), so his industry experience is real even though the specific firms and their quant-finance status remain unverified.Jul 14, 2026
• IMOs as Montenegro representative: 2019 (rank 489, 4 pts, no award), 2020 (honourable mention, 7 pts), 2021 (honourable mention, 7 pts), 2022 (rank 343, honourable mention, 18 pts).Jul 15, 2022
• IMO record as Montenegro representative: 2019 (rank 489, 4 pts, no award), 2020 (HM, 7 pts), 2021 (HM, 7 pts), 2022 (rank 343, HM, 18 pts).Jul 15, 2022
• Co-author of 'Does Weight Decay Enhance Training Stability?' (arXiv:2605.16622, v1 15 May 2026) with Marius Saether, Tomaso Poggio and Pierfrancesco Beneventano, analyzing weight decay at the Edge of Stability; consistent with his research in MIT's Poggio lab.May 15, 2026
• After undergraduate study, enrolled in postgraduate (master's) study at MIT, described as combining economics and machine learning; reported as having earned a double degree spanning mathematics, computer science, data science and economics.Jan 1, 2026
• Majoring in mathematics with a minor in finance at MIT; did a mathematics UROP on oscillations of the average trace of Frobenius on elliptic curves, and rowed heavyweight crew (2022-23, one V4+ appearance).Sep 1, 2023
• Majoring in mathematics with a minor in finance at MIT; mathematics UROP on oscillations of the average trace of Frobenius on families of rational elliptic curves; rowed heavyweight crew (2022-23, one V4+ appearance).Sep 1, 2023
• Won a gold diploma at the International Junior Mathematics Challenge (online, Bialystok) in Dec 2020 while a third-year student at UWC Mostar, and received Bosnia and Herzegovina's national award; UWC Mostar was named best school in the competition.Dec 15, 2020
• Described his MIT study as combining pure abstract mathematics and computer science with a focus on algorithms, statistics, machine learning and artificial intelligence, with AI/ML as the central focus of his research.Jul 14, 2026
• Co-author (per arXiv listing) of 'Does Weight Decay Enhance Training Stability?', analyzing weight decay at the Edge of Stability.May 1, 2026