AS
New York City · Open to research & engineering roles

Agustina Selser

Biomedical Engineer · Brain-computer interfaces, neuroengineering & robotics.

I build systems that read, decode and respond to signals from the body, from neural interfaces to walking robots.

Selected work

From neural signals to walking hardware to agents that ship code.

Diagram of the Veranda pipeline: ticket sources feeding a durable workflow that produces a pull request

Veranda

An autonomous coding agent that turns tickets into pull requests

An internship project: a Go service that takes a Linear ticket or a Slack mention, runs a coding agent against the repository inside a durable workflow, and returns a pull request that has already been built, linted, tested, reviewed and pushed through CI. Seven model families behind one interface, with live availability probing and cross-provider fallback.

GoLLM AgentsRAGTemporalKubernetesDockerMCPPlaywrightCI/CDObservability
The assembled quadruped walking robot

Quadruped Walking Robot

From CAD to a robot that walks at 25.6 cm/s

A complete end-to-end robotics pipeline: concept, SolidWorks CAD, MuJoCo simulation, 3D-printed fabrication and finally autonomous walking in the real world.

CADSimulationRoboticsEmbedded SystemsPythonPrototypingOOP
The assembled neonatal incubator prototype

Neonatal Incubator with IoT Monitoring

A low cost incubator built from salvage, held to a certified envelope

A neonatal incubator prototype built from consumer and reclaimed parts, with two closed loop controllers, sensors calibrated against physical references, fail safe alarm logic, and MQTT telemetry that scales one unit into a ward monitoring centre.

ArduinoESP32C++PID ControlSensor CalibrationMQTTThingsBoardIoTEmbedded Systems
Abstract data visualization representing a decision boundary

Machine Learning Algorithms

Classic ML implemented from first principles

Naïve Bayes, logistic regression, KNN and SVM implemented from scratch in Python to understand the mathematics rather than call a library.

PythonMachine LearningOOP
Bioinspired Arduino robot prototype

Bioinspired Robotics

Six robots with six personalities

Six behavioral models for Arduino robots inspired by biological and psychological patterns: shy, explorer, offended, aggressive, light-following and adolescent.

PythonMachine LearningC++ArduinoEmbedded SystemsRobotics

About

Agustina Selser

Decoding signals, then building the hardware that answers them.

I graduated with honors in MS Bioengineering from ITBA (Buenos Aires) and am currently pursuing an MSc in Biomedical Engineering at Columbia University, where I focus on brain-computer interfaces (BCI) and neuroengineering applications.

I completed a four-month research internship at Université de Montréal on a neuroprosthesis project for hand and arm paralysis, and later continued for a year as an external consultant, which solidified my passion for neural interface technologies.

I also worked at the Cognitive Neuroscience Center (CNC) of Universidad de San Andrés, contributing to neuroscience research through signal analysis and data processing, with a particular emphasis on decoding neural signals.

Neural interfaces

BCI pipelines, neuroprosthetics, biosignal processing and neural decoding.

Robotics & control

CAD to hardware, MuJoCo simulation, gait design, PID control and reinforcement learning.

Embedded & IoT

ESP32 and Arduino firmware in C++, MQTT telemetry, sensor integration and live dashboards.

Machine learning

Algorithms implemented from scratch in Python: classification, kernels and optimization.

Background

  1. Now · Graduate study

    MSc Biomedical Engineering

    Columbia University, New York

    Focused on brain-computer interfaces and neuroengineering, plus a robotics studio track.

  2. Consulting · 1 year

    External research consultant

    Université de Montréal

    Continued the neuroprosthesis project for hand and arm paralysis after the on-site internship.

  3. Internship · 4 months

    Research intern · Neuroprosthetics

    Université de Montréal

    Neuroprosthesis project targeting restored hand and arm function after paralysis.

  4. Research assistant

    Cognitive Neuroscience Center (CNC)

    Universidad de San Andrés, Buenos Aires

    Signal analysis and data processing for neuroscience research, with an emphasis on decoding neural signals.

  5. Degree · With honors

    MS Bioengineering

    Instituto Tecnológico de Buenos Aires (ITBA)

    Graduated with honors. Embedded systems, medical devices, robotics and machine learning.

Contact

Interested in collaborating? Let's talk.