Gaston Mazzei 25 yro
Physics
Music 
Pets 
gastonmazzei95@gmail.com
Hi. My name is Gaston Mazzei, and if you want to learn more about me please click on any topic to show more info.
Thank you for your time!
About Myself
Born in southern South America and very Passionate about Nature, some of its details along with Humankind's mathematical models were formally learnt during a 6-year-long Bsc+Msc Physics degree. During that time several personal and academic projects were accomplished, and a little bit under 3 years of work experience was accumulated.
With a clear list of favourite topics, taking great pride in being philosophically aligned with the European Union's Ethics, and with a "Plan Quantique" scholarship to incentivate the study and the both public and private application of modern technologies to R&D via the M1+M2 QDCS at the recently created Behemoth the Paris-Saclay University, my current place of residence is France.
Favourite topics
My purely-physical favourite topics have always been 'statistical physics', 'complex systems' and 'numerical simulations', but recently 'high performance computing', 'machine learning' and 'quantum information' have become my main focus of attention. Nevertheless, I do remind myself periodically to not get carried away by hype in order to not leave aside the 'old' tools that were historically proven useful: for example common 'dumb' statistics and custom-tailored models that define differential equations.
Other interests
My personal interests include practising sports such as trekking or amateur Olympic-style weightlifting (and maybe beach-volley?), being an histrionic individual that tells jokes and attempts to moderate friendly debates during meetings, watching movies and cooking, interacting with animals, learning about agriculture, and both interpreting popular music and enjoying experts' performance of counterpoint-rich music such as German, French or Italian baroque.
Network Automation Engineer
jan 2021 - aug 2021
As a Network Automation Engineer at Iquall Networks my role was to both model networks using NoSQL databases and to design implement and test algorithms using Python in order to provide automated solutions to international telecommunication companies inside propietary software. The company is a local (made in Argentina) offerer of cost-effective flexible transparent responsive and low-latency software inside which telecommunication companies can easily scale their expanding infrastructure without increasing complexity.
Research Internship (Master)
feb 2020 - dec 2020
During the almost 1-year-long research internship at ICAS (the International Center for Advanced Studies) several machine-learning topics were learnt from the renowed High Energy Physics researcher Dr. Ezequiel Alvarez. As part of the Institute's transfer of technology mandate as well as my own personal Master's thesis the website AI-Friendly.com was made: it consists of a free online customizable neural network.
Business Intelligence Work Experience
nov 2018 - nov 2019
During the Part Time Business Intelligence (or Data Analytics) consultancy (freelance) at an alpine-styled and medium-sized (about 100 employees and 4000 guests per month) four-star hotel in the Argentina's southern Patagonia region statistics was collected and executive reports were produced on a monthly basis. Vainilla sections of the reports included occupation and cash flow charts; more exotic ones were such as machine-learning-assisted proposals of target customers by identifying constant ratios between services consumed by guests inside the historical data. Finally in the context of the Hotel certifying its eco-friendliness while reducing its carbon footprint is that the latter was also computed considering the daily temperature and the monthly gas and electric consumption (extract of the report).
Research Internship (Bachelor)
jun 2017 - jun 2018
Undergraduate research internship at CNEA-CAC (National Atomic Energy Comission) and
Master in Quantum and Distributed Computing
sep 2021 - current
Currently under the Plan Quantique's Quantum Scholarship to study Quantum and Distributed Computer Science at the Paris-Saclay University: a recently created Behemoth that ranks 14th in the 2021 Shangai Ranking (1st in Math; 9th in Physics).
MSc Physics
mar 2015 - feb 2021
Licenciatura en Ciencias Fisicas' is a 6-year degree; internationally equivalent to a MSc Physics. The University of Buenos Aires is a 200-year-old university that ranks 66 in the QS world ranking 2021 (transcripts: original & translated; grade: 8.4/10; the thesis defense is available on YouTube).
BSc Experimental Physics
mar 2015 - oct 2020
'Physics Research Assistant' is a degree awarded by the University of Buenos Aires in 2020. Internationally equivalent to a Bachelor in Experimental Physics; it is an intermediate degree for the MSc Physics degee and it requires taking extra experimental courses (transcript; grade: 8.2/10).
Fundamentals of Accelerated Computing with CUDA C/C++
november 2021
Introductory synchronous course on CUDA C++ programming taught by NVIDIA Solutions Architect Paul Graham [ref].
TALENT (course)
july 2021
TALENT (Training in Advanced Low Energy Nuclear Theory) is a 2-week summer school held virtually and hosted by the European Centre for Theoretical Studies in Nuclear Physics and Related Areas; it covered both pure machine learning and pure low energy nuclear physics concepts as well as covering several intersections of both areas (course repo and proof [1][2] of assistance).
Geophysical Fluid Dynamics in FORTRAN (course)
july 2021
An introductory course to FORTRAN programming with emphasis in parallelization and fluid mechanics libraries. The course was provided by the French-Argentine Institute of Climate Studies (IFAECI) and the Department of Oceanic and Atmospheric Sciences of the University of Buenos Aires (DCAO-UBA) (codes).
Machine Learning (course)
2020
'Machine Learning' was a single-course at the Saint Martin National University (UNSAM) dictated by astrophysics researcher Dr. Rodrigo Diaz (proof: academic transcript; grade: 8/10).
Mathematical Modelling & Analysis (courses)
july 2016 - july 2018
Mathematical Modelling and Data Analysis courses taken at the Department of Mathematics and Institute of Computing of the University of Buenos Aires
1) Exploratory Data Analysis (grade: 10/10)
2) Quantitative Analysis in Finances (grade: 10/10)
3) Mathematical Modelling of Complex Social Systems.
AI-Friendly.com: Artificial Intelligence Made Friendly
october 2021
Open source web application that allows high-level access to a customizable neural network for free - sent to the 34th Argentinian Symposium of Artificial Intelligence and it should be published in the 2021 Proceedings of the JAIIO 50 (50th Argentine Informatics Journal with date october 2021 - sample).
Image Inpainting Applied to Art: Completing Escher’s Print Gallery
july 2021
Image Inpainting applied to M.C. Escher's Print Gallery at the Proceedings of the LatinX in AI (LXAI) Research workshop at ICML 2021 (accepted - july 2021 - link to journal's website - doi pending).
Delta Hedging with Transaction Costs: Dynamic Multi-Scale Strategy using Neural Nets
may 2021
A portfolio strategy is parametrized by hedging at different periods and computing the weights with a convolutional 1D neural network (published in MACI VIII; the eight journal of the Argentinian Society of Applied Mathematics; ISSN: 2314-3282 pp. 459-462).
Option Pricing Model with Transaction Costs
may 2017
Numerical simulations of the Black Scholes PDE with non-differentiable transaction costs and the analytical solution for exponential costs (published in MACI VI; the sixth journal of the Argentinian Society of Applied Mathematics; ISSN: 2314-3282 pp. 569-573).
ASAI - JAIIO 50
october 2021
Presented two works at ASAI: the Argentinian Symposium of Artificial Intelligence. The first one was a work-in-progress (sometimes in this web called 'the Escher Project') that was published in an ICML 2021 workshop (1) and the second one was a paper about AI-Friendly that was itself published in this journal (2). The videos are in Spanish.
ML Collective Research Jam 2
june 2021
Presented AI-Friendly in a research jam organized by ML Collective (an independent nonprofit organization that supports open collaboration in machine learning research)
LXAI Social @ ICLR
may 2021
Presented the Escher Inpaint Project as part of 'ML Techniques for Art Reconstruction' in the pitch for research projects applying for mentorship at ICLR Social Virtual Room n4416 inside LXAI's event LatinX in AI Social at ICLR 2021 (presentation link; and further proof)
MACI VIII
may 2021
Presented the recent publication 'Delta Hedging with Transaction Costs: Dynamic Multi-Scale Strategy using Neural Nets' at the MACI VIII virtual sessions (proof - link to presentation)
ML Collective Research Jam 1
april 2021
Presented the Escher Inpaint Project in a research jam organized by ML Collective (an independent nonprofit organization that supports open collaboration in machine learning research)
22nd Giambiagi Winter School: Artificial Intelligence and Deep Learning in Physics
nov 2020
Presented a virtual poster about ai-friendly.com at the 22nd Giambiagi Winter School (link to conference presentation)
MACI VI
may 2017
Presented the paper 'Option Pricing Model with Transaction Costs' at MACI VI's Quantitative Finance Session (poster)
DF-UBA
may 2017
Presented the results of the calibration and characterization of a standing-wave optical resonator Nd:YAG laser at the Department of Physics inside the Buenos Aires University (poster)
Physics simulation: Tic Tac Toe
dense neural net
Tic Tac Toe: the optimum strategy was learnt by a two-layer fully-connected neural network
Physics simulation: Quantum Tunneling
dense neural net
Quantum Tunneling: the transmission coefficient is fitted by a shallow fully-connected neural network that learns from binary observations identified with the collapse of the quantum wave-function
Physics simulation: Exoplanets
dense neural net
Exoplanets: Kepler's third law is learnt by a shallow fully-connected neural network and thus the orbital period can be estimated from the radius and the solar mass
Physics simulation: Group Theory
dense neural net
Group Theory: detection of Lie algebras with a total number of different irreductible representations in a product descomposition that exceed a threshold
Physics simulation: The Ising Model
dense neural net
The Ising Model with a magnetic field: classification of parameters that exceed a given threshold for the Energy and the Magnetizaion
Physics simulation: Nonlinear Equations
dense neural net
Quadratic two-dimensional homogeneous ODEs: detection of unstable equilibria
Physics simulation: Higgs Boson
dense neural net
Detection of the Higgs Boson in LHC data: the Higgs Boson is detected at a concentration 1% in LHC collisions in format LHCO by a shallow fully-connected neural network
Physics simulation: Electrical Circuits
dense neural net
Circuits' max power: detection of pasive-components' values that lead to currents above a certain threshold for diode-perturbed common circuits
AI vs Humans
random forests classifier
A Musical Experiment: 200 humans were surveyed to measure the average human accuracy at recognizing classical music authors in between 8 options from short sound samples. Different AI-based-classifiers were measured against that benchmark and the conclusion was that a Random Forests Ensemble model performed with an average 3x accuracy than of humans.
Escher Inpainting Project
inpainting with deep learning
The ongoing Escher Inpaint Project consists of the image inpainting of M.C. Escher's Print Gallery with deep learning techniques along with knowledge of the underlying conformal mapping.
Bitcoin Autoencoder
bitcoin automatic trading with a neural network
Open Source and dynamic website built with TensorflowJS and Flask that implements an automatic trading strategy based on a multi-thresholded strategy implemented in an autoencoder's latent space
TicTacToe Neural Net
tictactoe against a neural net
Open Source and dynamic website built with TensorflowJS that uses a neural net to play tic tac toe
Covid Arg Fake News
bayesian interpretation of covid data
Open Source and dynamic website built with Flask and hosted on Heroku that expands on the statistical implications of the Argentinian's corrupted coronavirus database from a bayesian perspective
AI-Friendly
artificial intelligence made friendly
Dynamic website built with Nginx and Jenkins that makes publicly-available a neural network as per the state-sponsored transfer-learning mandate of ICAS to which I contributed during the Applied AI Internship
My Personal Page
the page you are looking at
The current site is a static open-source website hosted by GitHub and built with Ruby's Jekyll using Bulma
Network Diffusion and Synchronization Simulator
Efficiently study diffusion and synchronization
NEDISS is an ongoing project that is building a parallel and distributed framework as to work as a plug-and-play integrator of both nonlinear ODEs that exhibit synchronization (e.g. Kuramoto) and PDEs that exhibit nonlinear diffusion. The final goal is to study their transient properties as a function of network topology parameters
Tracking Orchestra
convert movement to music
The Tracking Orchestra uses python to convert object's movement to music using OpenCV's non-AI-based multi-tracking capabilities. An example is available here. The instrument assigned to each can be changed. It is not 'canned' as it is not Dockerized but only requires being ran on Linux w/ Python3 and manually installing two library requirements.
Darkest & Lightest
mini-Tool for front-end design
JavaScript Architecture for GoogleScripts that allows to downsize Google-Form surveys by randomizing the shown questions and thus allows for simpler forms with more total questions. Further info is available at this Medium series [1][2].
LHCO to CSV
Convert LHCO format to CSV
Darkest & Lightest is a Python mini-App that reports the HEX value of a picture's darkest and lightest values. It is very practical tool while performing front-end operations.
Google Form Randomizer
decrease bounce & increase info
LHCO to CSV is a python code for converting cumbersome .LHCO files into comfortable .csv ones. It was written during the LHC Olympics during 2020 in an attempt to provide quick preprocessing for AI-focused colleages.
Telegram Geo-Recommender Bot
respond to users w/ nearest market
Open Source Python Application for a Telegram Chatbot that indicates the nearest market based on the location. It responds to user input by looking info in a pre-supplied database.
Peat
Python wrapper for CPU constraints
Peat is intended as a Python script wrapper that limits both CPU and memory usage at the cost of calling Docker. It used an image with MKL optimizations for Intel processors but that image may disappear from DockerHub in the future. Memory constraints do not work as the patch for docker-compose memory bug has not been applied; so at the end of the day it is currently only a CPU constrainer.
Fundamentals of Accelerated Computing with CUDA C/C++
Nov 2021
NVIDIA Certification of fundamental knowledge in CUDA C++[proof].
Plan Quantique Scholarship
Sept 2021 - Sept 2022
Won the Plan Quantique scholarship for a period of one year to study quantum and high performance computing in France [proof].
IELTS English Language Certificate
Dec 2020
IELTS UKVI (score: 8.0/9.0 - verification code).
NYU Deep Learning Translator
2020
Translated from English to Spanish a lecture over language models at Yann LeCun's Deep Learning course at NYU (proof).
Rock-guitar Videoclips in Spanish
2019
Created 13 animated musical videoclips of original rock-guitar music amateurly sang in Spanish by myself (link).
Self-watering vertical garden
2018
A self-watering vertical flower pot was designed and a prototype was manufactured (presentation).
J.S.Bach Lutheran Poem Harmonization Mix
2018
YouTube medley of post-reformation Lutheran poems harmonized by J.S.Bach with score and lyrics (link).
Classical Music on Nylon Guitar
2017-2018
YouTube playlist with short instrumental works (nylon string and rich in counterpoint - link).
Electronic Music
2015-2017
Short Electronic Music clips (link).
Instrumental Music
2011-2015
Classic & Rock songs (link).
