kaiwave, the portfolio of Malakai Harianto

I’m Malakai Harianto. I study mathematical physics at Melbourne and love building scientific and sporting models.

Read my CV

‘Mathematics is not about numbers, equations, computations, or algorithms: it is about understanding’ - Terrence Tao

Projects

  • Boardsteals

    live

    NFL fantasy sleeper picks, based on underlying hidden data. Finding players with the biggest disparity between where they are and where they should be, and presenting it in a clean website.

    • NFL fantasy, Python and web
    • python
    • sport
    • website
    GitHub

  • Goaltender optimisation

    report

    An analysis of ice hockey goaltender positioning, by modelling and optimising tradeoffs with crease aggression. Written in a Jupyter notebook with matplotlib plot rendering.

    • Hockey, projective geometry
    • python
    • sport
    • hockey
    GitHub

  • Jazz frontcourt pairings

    report

    An NBA defensive data analytics framework combining Empirical Bayes modeling with a stochastic kinematic simulation to optimize weak-side help rotations across Utah Jazz frontcourt pairings.

    • NBA defence, Empirical Bayes
    • python
    • sport
    • basketball
    GitHub

  • MCG egress model

    in progress

    Modelled railway egress dynamics from the MCG following major AFL game events for my main project in Modelling the Real World (EVSC20007), developing understanding of dynamic models. Private until end of sem.

    • Dynamic modelling, AFL crowds
    • python
    • sport
    • research

  • Qubit simulator

    in progress

    A Rust-compiled qubit simulator engine for python to develop intuition for working with quantum computing algorithms.

    • Rust engine for Python
    • tool
    • quantum
    • simulation

  • Daisy world in Rust

    open source

    A rudimentary implementation of Lovelock and Watson's daisy world model. Tweakable parameters to explore the interplay with albedo, surface temperature, and life on the planet.

    • Climate toy model
    • tool
    • plotter
    • environment

  • The TP scent study

    report

    Exploring the relationship between extroversion and subjective attitudes towards the distinctive scent of a communal place. Employed some best practice methods of environmental field research.

    • Environmental field research
    • psychology
    • research
    • environment

Boardsteals, week 7

This week’s five widest gaps between expected and actual fantasy points, rated 0 to 100 with a z-score.

Open Boardsteals
  1. 99.9Malik NabersWR, NYGExpected pts29.3Actual pts25.2Season avg17.2
  2. 86.5Braelon AllenRB, NYJExpected pts18Actual pts16.8Season avg10.9
  3. 85.8Jalen BrooksWR, ARIExpected pts13.2Actual pts4.4Season avg2.2
  4. 85.7Colston LovelandTE, CHIExpected pts13.7Actual pts14.1Season avg8.9
  5. 81Daniel JonesQB, INDExpected pts28.4Actual pts9.5Season avg10.1
  6. The rating, in Python
    # Z-score mapped to 0-100 breakout scale
df = df[df['expected_ppr'] >= 6.0]
disp = df['disparity']

# Normalise
z = (disp - disp.mean()) / disp.std()
df['rating'] = np.clip(55 + z * 15, 0, 100).round(1)
Malakai Harianto under a sandstone arch at the University of Melbourne
Mathematical Physics, University of Melbourne

Hi, I’m Malakai

I’m an undergrad studying mathematical physics at the University of Melbourne.

My interests sit at the intersection of theoretical physics, scientific computing, and quantitative sport analytics applications.

Each day I learn more about careers where hard maths problems and real research take place.

I use Python, NumPy, SciPy and Jupyter, Rust when speed matters, and LaTeX for write-ups. Off the clock: French, hockey, bass and oat magics.

Education

WhenWhatDetailWhere
NowBachelor of ScienceMathematical PhysicsUniversity of Melbourne
2024Advance to UniversityMathematics and StatisticsFederation University
2023 to 2024VCE BaccalaureateMethods, Physics, Literature, French, EconomicsSuzanne Cory High School

Writing

2026

2025