Profile

I am a second-year student at Aalto University, Machine Learning, Data Science and Artificial Intelligence MSc. My main interest is probabilistic machine learning.

I am a research-oriented person who is looking forward to collaboratively creating new technologies. I am seeking opportunities with high motivation to combine up-to-date theoretical knowledge with practical applications.

If you want to contact me, please feel free to use links below.

Employment

Research Assistant, Aalto University

January 2026 - Ongoing

  • Conducting research in the Bayesian Workflow group , focusing on variance reduction techniques for Bayesian inference using control variates.
  • Developing and evaluating novel control variate methods to reduce variance and improve convergence diagnostics in Stan-based MCMC models.
  • Writing a master’s thesis titled “Control Variates in MCMC Sampling and Their Effects on R-hat"

Open Source Developer, Google Summer of Code

May 2025 - September 2025

  • Worked on Stan , the leading software library for Bayesian machine learning on visual analysis of Bayesian models.
  • Actively contributed to bayesplot , a package under Stan for visualising Bayesian models.
  • Added new plots and functions to bayesplot by using ggplot2 and ggdist libraries to enhance explorative analysis of Bayesian systems.
  • Worked on documentation and improving the experience of open source beneficiaries.

Research Assistant, Aalto University

June 2024 - September 2024

  • Worked at Probabilistic Machine Learning group on the topic of model misspecification in Bayesian experimental design.
  • I searched and classified academic papers on Bayesian models, experimental design, and model misspecification.
  • Deployed a simulation model on Mössbauer Spectroscopy.
  • Implemented a likelihood-free Bayesian method (LFIRE) to optimise the experimental design of Mössbauer shift detection.

Teaching Assistant, Aalto University

September 2022 - January 2026

  • Courses: Machine Learning D (2022, 2023), Programming 2 (2023), Bayesian Data Analysis (2025)
  • Organized live exercise sessions, instructing students in their assignments on Python, R, and Scala development.
  • Helped students to develop their own machine learning projects using Stan, scikit-learn, NumPy, and Pandas.
  • Answered questions through online platforms so learning doesn’t stop after the live sessions.
  • Awarded “Teaching Assistant Group of the Year 2023” for Machine Learning D 2023 edition.

Education

Master of Science in Machine Learning and Artificial Intelligence, Aalto University

September 2024 - Ongoing

  • Thesis: Control Variates in MCMC Sampling and Their Effects on R-hat.
  • Activities and societies: AaltoAI, Data Guild.

Bachelor of Science in Data Science, Aalto University

September 2021 - June 2024

  • Graduated with honours.
  • Thesis: Robustness to Model Misspecification in Bayesian Experimental Design.
  • Minor in Mathematics.
  • Activities and societies: AaltoAI, Data Guild.

Volunteering

Board Member (Finance and Partnerships), AaltoAI

September 2024 - January 2025

  • Serving as the board member in charge of Finance & Partnerships.
  • Orchestrating AaltoAI’s efforts to reach and collaborate with new partners.
  • Managing to get AaltoAI from the state of no partnerships to extensive, annually renewing partnerships with companies such as Microsoft, Smartbi, and DataCrunch.
  • Administered single-time partnerships with companies such as IBM and HiQ.
  • Overseeing all financial operations of AaltoAI.
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