Code for the empty droplet and cell detection project from the HCA Hackathon.
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Updated
Feb 26, 2019 - TeX
Simulation refers to the process of creating a virtual model of a real-world system to study its behavior and performance under various conditions. This topic covers the principles, methodologies, and applications of simulation in fields such as engineering, science, healthcare, and social sciences. Simulations can range from simple models to complex, interactive environments, allowing researchers and practitioners to test hypotheses, train individuals, and predict outcomes without the risks or costs associated with real-world experiments. The topic also explores different types of simulation software and tools, as well as best practices for designing and validating simulations.
Code for the empty droplet and cell detection project from the HCA Hackathon.
Code and manuscript files for Aaron and Karsten's deconvolution paper.
Simulation Architectures for Reinforcement Learning applied to Robotics
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Information that is useful for wave propagation calculations.
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Scientific production thought my academic life (under graduation, masters, PhD)
Computer simulation of a simple model of neuronal spiking in Python. In 2016.
Project assignment for Robotics course @USI19/20. Learn to perform specific interactions between the robot and objects in the environment.
Simulations for super Brownian motions
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