I am an Assistant Professor at CMKL University, where I work across statistical machine learning, missing data, Bayesian modeling, causal reasoning, research, and teaching.
Alongside that, I founded Himmapan Lab as an initiative to create professional software for statistics, modeling, and engineering work.
This initiative is grounded in my background in mathematical engineering, a PhD in Probability and Statistics, and years of work in research, teaching, and applied quantitative modeling.
I work on problems where statistical reasoning, computation, and software design need to live together. My interests come together around a practical goal: building software that makes quantitative work more rigorous, more usable, and more exploratory.
PhD in Probability and Statistics, 2021
Center for Research in Mathematics (CIMAT)
MSc in Probability and Statistics, 2016
Center for Research in Mathematics (CIMAT)
BSc in Mathematical Engineering, 2014
National Polytechnic Institute (IPN)
Interactive software products for analysis, modeling, and problem solving.
Himmapan Lab is my current initiative to build interactive software products for quantitative and engineering work. It is informed by my background in engineering, probability and statistics, and years of experience in research, teaching, and applied modeling. The aim is to make analysis more visual, computational, and hands-on, so complex ideas can be explored directly through software.

An ecosystem of interactive software products for quantitative and engineering work. It brings together product design, modeling, and computation to turn complex technical ideas into practical tools.

A software platform for probability and statistics work: exploring data, modeling randomness, testing ideas, and solving quantitative problems computationally. It is the clearest expression of my current direction: rigorous interactive software for real analytical work.

A software environment for differential equations, dynamic systems, simulation, and computational exploration of how models behave in practice.