Curriculum Vitae

Current activity

2023-to-date   |   Software Engineer | Developer

At Carl Zeiss Munich, focused on imaging inverse problems and GPU programming.

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2018-2023   |   Ph.D. Project

in Computational Microscopy and Light-field imaging systems

Technical University of Munich (Germany)

• Group: Computational Imaging and Inverse Problems
• Supervisor: PD Dr. Tobias Lasser.
• Additional tasks: Constant supervision of bacherlor and master student project, and, teaching activities.
• Publications and Repos:
  • Real-Time Light Field 3D Microscopy via Sparsity-Driven Learned Deconvolution
  • Artifact-free deconvolution in light field microscopy
  • oLaF: A flexible 3D reconstruction framework for light field microscopy
• Dissertation: Enabling real-time light-field 3D fluorescence microscopy through computational microscopy and deep learning

2019-2020   |   Ph.D. Project Abroad

Light-Field + Confocal Microscopy and Deep Learning

University of Bern (Switzerland)

• Group: Computer Vision Group
• Supervisor: Prof. Paolo Favaro
• Aim of the project: Create a Confocal and Light-field microscope 3D dataset of mice brain vasculature. Later, explore supervised learning algorithms for 3D reconstruction.
• Gain expertise in: Deep learning algorithms (Pytorch), Wave Optics modeling of microscopes.
• Publications and Repos:
  • Learning to Model and Calibrate Optics Via a Differentiable Wave Optics Simulator
  • Learning to Reconstruct Confocal Microscopy Stacks from Single Light Field Images
  • N-dimensional convolution in Pytorch convNd
  • N-dimensional Fourier transform in Pytorch fftNd

2015-2017   |   Masters

MSc. in Biomedical Computing

Technical University of Munich (Germany)

• Thesis title: Investigation and Implementation of Light Field forward models.
• Grade: 1.5 (German scale 1.0 to 6.0, where 1 is the highest).
• Publications:
  • Concurrent segmentation and localization for tracking of surgical instruments
  • Automatic Initialization and Failure Detection for Surgical Tool Tracking in Retinal Microsurgery
  • Real-time online adaption for robust instrument tracking and pose estimation

2010-2014   |   Bachelors

Mechatronics Engineering

CETI (Guadalajara, Mexico)

• Minor: Robotics and Computer Vision.
• Thesis title: AutoMapping, automatic mapping of structures using Structured Light.
• First place in yearly thesis project competition (Gaining direct graduation rights.)
• Grade: 91.7 / 100

Work Experience

2016-2017   |   TUM

Technical University of Munich, HiWi in the CAMP group in collaboration with Zeiss, Munich, Germany

• Assisting on research and development of algorithms for tool tracking in retinal microsurgery, supervised by Dr. Nicola Rieke.
• Gain expertise in: C++, Random forests, Zeiss framework, camera calibration methods, etc.

2014-2015   |   Intel

Graphics Hardware Engineer, Guadalajara, Mexico

• Development and maintenance of a graphic card simulator as a functional reference model and pre-silicon validation tool for graphic cards. Our team was focused in display and audio.
• Worked within an international team located in Guadalajara Mexico and Folsom California.
• Gain expertise in: Low level graphics feature implementation, lots of coding in C++, scripting (Ruby, Python, Perl, Go), Netbach, etc.

2011-2015   |   Visualma

Interactive Programer and Co-founder, Guadalajara, Mexico

• Realization of 3D mapping projections with computer vision and camera calibration methods.
• Connection of multiple platforms and frameworks achieving complex and interactive entertainment systems.
• Gain expertise in: Projection Software (Resolume, Touch-designer) 3D modeling (C4D, Realflow, HLSL shading), After Effects, interactive programing (Processing, Touch-Designer, VVVV), camera calibration software development, etc.

Trainings

2017

• UCL: Medical Image Computing Summer School, MediCSS. London, UK
• ETH: Summer School Biomedical Imaging, EXCITE. Zurich, Switzerland.

2018

• Sundsval University: LightField Summer School. Sundsval, Sweden.

2019

• ETH: *Advanced Microscopy Winter School, EXCITE. Zurich, Switzerland.

Human Languages

• Spanish: Native language.
• English: Advanced, fluent technical work. Score of 101 in Toefl IBT.
• German: Fluent, B2.2 level.

Technical Experience

Programming Languages

• C++, Python and Matlab as main languages.
• Python and C++ machine learning frameworks: Strong Pytorch + cuda development and basic Tensorflow.
• GPU programming: Cuda, OpenCL, HLSL, etc.
• Scheduling and experiment management: Slurm and Guild.ai.
• Other frameworks: Micromanager (microscope software development), C#, Java, C, etc.
• Visual and interactive programing: Advanced Touch-designer, Processing, OpenFrameworks, OpenCV, etc.

Additional Skills

• Micro-controlers and sensing: Arduino, chipkit, freescale, PLC.
• Communication protocols: OSC, IS2, MIDI, DMX, Spout.
• Animation: After Effects, Cinema 4D, RealFlow.
• etc.