bay area / north dakota

Currently working on internal AI tools @ NVIDIA.

I received my graduate training in statistics and engineering at Duke University under Mark Borsuk, graduating in 2020. I was awarded full-funding fellowships by the NSF (IGERT, 2014) and NASA (NESSF, 2017) with additional support from Amazon and NVIDIA. My research focused on developing graphical models for high-dimensional spatial data, with applications in engineering, ecology, and the environment.

  • I spent six years in grad school. I loved grad school so much that I pushed back my defense for a year just so I could use all of my funding and focus on my research.
  • I moved to NVIDIA in 2024, focusing on retrieval and agentic workflows for our sales & field operations.
  • I was hard of hearing in my early life, and spent most of my childhood in speech therapy.
  • I started college at Valley City State University and later studied at Macalester College for physics.
  • My favorite physical system is the spin glass.
  • My family name is of Finnish origin. My great-grandfather emigrated from Finland around 1890.
  • You can email me using the format of first initial followed by last name (no punctuation) at gmail

latest posts

Jan 14, 2026 Rolling your own serverless OCR in 40 lines of code
Jan 08, 2026 How I accidentally became a power AI user in big tech
Nov 21, 2025 Using Antigravity for Statistical Physics in JS
Aug 01, 2025 What I learned from making 200 different LLMs flip coins
Aug 01, 2025 A tutorial on kinematics and optimization using NVIDIA Warp
Jul 22, 2025 Simulating planetary waves
Apr 13, 2025 Modeling data with correlated errors across a directed graph
Jan 15, 2025 To my junior collaborators, this is how I want you to write your research code
Sep 28, 2024 Solving climate change by abusing thermodynamic scaling laws
Nov 20, 2022 Modeling temporal data with an unknown number of changepoints
Mar 07, 2022 Distributed zonal averages for fast geospatial analyses
Nov 28, 2021 Fast Kronecker matrix-vector product with einsum
Nov 10, 2021 Balanced spatial partitioning for point data in 20 lines
Apr 29, 2021 Modeling spatial structure in binary data with an H3 hexagonal coordinate system
Apr 05, 2021 Surrogate modeling for SEIR dynamics
Mar 30, 2020 Density estimation for geospatial imagery using autoregressive neural models
Feb 18, 2020 Multivariate sample size for Markov chains