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          [b]Nicholas Amadeus[/b]

          [link index.html]Home[/link]  •  [link research.html]Research[/link]  •  [link personal.html]Personal[/link]  •  [link publications.html]Publications[/link]  •  [link contact.html]Contact[/link]


          [b]About[/b]

          [link principles.html ]  I am [/link] an undergraduate student of pure mathematics, statistics, and economics at the University of Michigan.

          My area of study/research is primarily centered on probability theory.
          In particular, high dimensional probability (and its applications) are my focus.
          [link https://www.math.uci.edu/~rvershyn/papers/HDP-book/HDP-book.html]Here's my favourite text on the topic by Roman Vershynin[/link].

          My current area of focus is on optimal transport, and thus my current readings are as follows:
           - Cédric Villani :  [link https://link.springer.com/book/10.1007/978-3-540-71050-9] Classical Text on OT [/link].
           - Peyré & Cuturi : [link https://arxiv.org/abs/1803.00567] Applied Treatise. [/link].
           - Institut Camille Jordan : [link https://math.univ-lyon1.fr/~santambrogio/OTAM-cvgmt.pdf] Another applied version. I cycle between the Peyré and ICJ books [/link].
           - Kantorovich Institute : [link kantorovich.org ] General resources on OTT [/link].

          I also create projects pertaining to quantitative finance.

          My past projects/work delves more into mathematical physics (specifically Lagrangian mechanics), pure mathematics, and bioinformatics.
          You can check them [link projects.html]here[/link].


          [b]Portfolio[/b]

          In Progress.

          Current Projects:
           - Distributionally Robust Optimization and applied Optimal Transport Theory
           - Regime detection models
          Past Projects / Publications:
           - Risk-Aware Portfolio Construction via Contextual Multi Armed Bandits (quant | bayesian) [python]
           - Prediction of Bitcoin/USD Order Book Movements SVM and Tree-Based Ensembles (quant | ml) [python]
           - Rough Isometry of integers (math | group theory / number theory)
           - Smooth manifolds and Stokes' Theorems (MathDRP | topology)
           - Noether's Invariance Theorems and Conservation Laws (Physics)
           - Fractal generators (fractals | python) [python]

          [b]Experience[/b]

          May - August 2025
          Student Researcher, University of Michigan Computational Medicine Lab (research)
          I conducted research at the Rajapakse Lab under the Department of Computational Medicine and Bioinformatics @ UM. I was mentored by Dr. Indika Rajapakse.
          Under Dr. Rajapakse's tutelage, we are working on methods in Monge-Kantorovich/Optimal transportation theory applied to cellular reprogramming and advancements in healthcare.
          In particular, we studied and proposed tailored implementation plans for  [link https://www.cell.com/cell/fulltext/S0092-8674(19)30039-X] Waddington-Optimal transport [/link]

          June - July 2024
          Data scientist, Garuda Metalindo, Jakarta, Indonesia (industry)
          Engineered C++ code and Python scripts to streamline data processing for inventory management of over 2.5 billion products and 50,000 variants annually.
          Developed a fraud-detection system on Python using machine learning to detect suspicious inventory shortages, accounting errors, and production measurement errors.
          Utilized SQL and relational database knowledge to analyze and develop efficient ways of handling production and financial data.

          September 2023 - Present
          Michigan Math Laboratory
          Part time staff at the Michigan Mathematics Tutoring and Testing Lab.
          Taught students subjects from linear algebra, ordinary differential equations, and vector calculus.
          Maintained a secure testing environment for the Michigan Calculus Sequence Bi-semester examinations

          February 2018- March 2018
          Deloitte Indonesia, Jakarta, Indonesia
          Reviewed risk database reports for compliance and fraud prevention in current and past bank clients.
          Applied statistical methods to analyze historical client data, identifying patterns of risk exposure across market, credit, and operational domains.
          Assisted development of HR risk assessment frameworks aimed at reducing exposure to employee-related liabilities and compensation claims.

          [b]Courses[/b]
          Some relevant courses I've taken over the course of my studies at the University of Michigan
          Relevant Coursework @ Michigan:
          ===============
          Mathematics Coursework:
          Math 312 - Applied Abstract Algebra
          Math 316 - Differential Equations
          Math 351 - Principles of Real Analysis
          Math 423 - Mathematical Finance
          Math 433 - Differential Geometry
          Math 440 - Lab of Geometry (Research Programme)
          Math 462 - Mathematical Modelling
          Math 472 - Numerical Analysis for Finance
          Math 507 - Mathematical Methods of Algorithmic Trading*
          Math 525 - Probability Theory
          Math 526 - Discrete-State Stochastic Processes
          Math 547 - Mathematical Methods of Data Analysis
          Math 551 - Measure Theory*
          Math 623 - Computational Finance*
          Math 628 - Machine Learning for Quantitative Finance
          ===============
          Statistics Coursework:
          Datasci 306 - Statistical Computing
          Stats 413 - Applied Regression Analysis
          Stats 415 - Statistical Learning and Datamining
          Stats 426 - Theoretical Statistics
          Stats 485 - Capstone in Statistical Methods
          Stats 500 - Regression Analysis
          Datasci 651 - Topics in Bayesian Analysis (cross-listed: Stats 551)
          ===============
          Economics Coursework:
          Econ 401 - Intermediate Microeconomic Theory
          Econ 402 - Intermediate Macroeconomic Theory
          Econ 409 - Game Theory
          Econ 452 - Honors Econometrics II

          [b]Myself(?)[/b]

          You can get to know me more holistically through my hobbies and the little activities I enjoy.

          [link URL]Species identification[/link] is a childhood hobby that still holds dear to my heart until today.

          Books speak volumes about an individual (pun intended).
          Feel free to [link books.html]check out what I love to read[/link].

          Other miscellaneous tidbits of my life are listed on the "Personal" page.


          [b]Contact Me[/b]

          [link Namadeus ResumeAlt Research2.pdf]Click here to find my vita, credentials, and contact information[/link].


          [i]Last updated - 17/04/2026[/i]
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