Luis Aguilera — Computational Biologist & Software Developer

01.

Featured Projects

GUI Interface

Single-molecule RNA and protein tracking

RNA & Protein Tracking

Code Architecture

Featured · Published 2026

MicroLive

A complete image processing toolkit for quantifying live-cell single-molecule microscopy. PyQt5-based GUI integrating Cellpose segmentation, TrackPy particle tracking, Big-FISH spot detection, and custom ML classifiers — from image loading to publication-ready analysis.

Bioinformatics Advances Python PyQt5 Microscopy Cellpose TrackPy

GitHub Repo ▶ Watch Demo Read Paper

Spot Detection

Cell Visualization

Multi-channel Projection

Spot Intensities

Quantification

Full Field of View

Z-Slices

Architecture

Research Tool

FISH Processing

Automated pipeline for Fluorescence In Situ Hybridization (FISH) image analysis. Uses Cellpose for cell segmentation and BIG-FISH (FISH-quant v2) for spot detection, counting, and intensity quantification across multiple color channels.

Python Jupyter FISH Cellpose Big-FISH Colab Ready

GitHub Repo Open in Colab

Gene structure and variant visualization

Gene & Variant Visualization

ddPCR Primer Design

ddPCR Simulation

Bioinformatics Pipeline

NGS Biomarker Discovery Toolkit

NGS variant calling and digital PCR assay design for circulating tumor DNA analysis. Includes a production Nextflow pipeline for somatic variant detection (LoFreq, SnpEff, gnomAD filtering), automated ddPCR primer design, and droplet partitioning simulation for rare mutation detection.

Python Nextflow ctDNA Variant Calling ddPCR HPC Ready

GitHub Repo

Simulation Library

rSNAPed

RNA Sequence to NAscent Protein Experiment Designer. A library to simulate single-molecule gene expression experiments, generate simulated intensity translation spots, and test machine learning and computational pipelines.

Python Gene Expression Stochastic Models Colab Ready

GitHub Repo Open in Colab Zenodo DOI

Game Art

Terminal Demo

Oumuamua

Crab Nebula Pulsar

Creative · Game

6EQUJ5

A Python terminal-based deep-space receiver game. You are a rogue engineer operating from an abandoned analog radio observatory, scanning the sky along the hydrogen line and engaging in AI-driven dialogue with alien civilizations. Each has survived what you are currently facing: an Artificial Superintelligence. Inspired by the real 1977 Wow! signal.

Science Fiction Python Ollama / AI SETI Terminal Art

GitHub Repo ▶ Full Trailer

02.

Research & Publications

2026

MicroLive: An Image Processing Toolkit for Quantifying Live-cell Single-Molecule Microscopy

Aguilera LU, Raymond WS, Sears RM, Nowling NL, Munsky B, Zhao N.

Bioinformatics Advances

2025

Methods in quantitative biology — from analysis of single-cell microscopy images to inference of predictive models for stochastic gene expression

Aguilera LU, Weber LM, Ron E, King CR, Öcal K, Popinga A, Cook J, May MP, Raymond WS, Fox ZR, et al.

Physical Biology

2024

Sequential design of single-cell experiments to identify discrete stochastic models for gene expression

Cook J, Ron E, Svetlov D, Aguilera LU, Munsky B.

IEEE Conference on Decision and Control (CDC)

2023

Using mechanistic models and machine learning to design single-color multiplexed nascent chain tracking experiments

Raymond WS, Ghaffari S, Aguilera LU, et al.

Frontiers in Cell and Developmental Biology

2020

Quantifying the dynamics of IRES and cap translation with single-molecule resolution in live cells

Koch A, Aguilera LU, Morisaki T, Munsky B, Stasevich TJ.

Nature Structural & Molecular Biology

2019

Computational design and interpretation of live-cell, single-RNA translation experiments

Aguilera LU, Raymond W, Fox ZR, May M, Djokic E, Morisaki T, Stasevich TJ, Munsky B.

PLoS Computational Biology

2019

Live-cell single RNA imaging reveals bursts of translational frameshifting

Lyon K, Aguilera LU, Morisaki T, Munsky B, Stasevich TJ.

Molecular Cell

→ View full publication list on Google Scholar

03.

About

I am a Research Associate in the Department of Biochemistry and Molecular Genetics at the University of Colorado Anschutz Medical Campus. My work sits at the intersection of computational biology, biophysics, and software engineering — building tools and models that let researchers extract quantitative insights from single-molecule microscopy data.

My research combines live-cell imaging, stochastic modeling of gene expression, and machine-learning-driven image analysis. I develop open-source pipelines that automate everything from cell segmentation to particle tracking to translation dynamics quantification.

With a background spanning Mexico, Germany, and the United States, I am committed to inclusive mentorship and making quantitative biology accessible to diverse communities of students and researchers.

Open-source tools

Publications

Years teaching

Countries lived

04.

Teaching & Mentorship

🧪

UQ-Bio Summer School

Co-founder and lead organizer of the Undergraduate Quantitative Biology (UQ-Bio) Summer School — an intensive program introducing students to computational modeling, microscopy analysis, and stochastic gene expression. Curriculum published in Physical Biology. The school emphasizes hands-on Python-based learning and is designed to be inclusive and accessible to students from diverse backgrounds.

UQ-Bio Website