Miguel Camarena Sainz
Machine Learning Engineer / Bioinformatician at Hospital of the university of Tübingen- Claim this Profile
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Spanish Native or bilingual proficiency
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French Limited working proficiency
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English Native or bilingual proficiency
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Portuguese Professional working proficiency
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German Elementary proficiency
Topline Score
Bio
Credentials
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Learn Git & GitHub Course
CodecademyMar, 2022- Nov, 2024 -
Learn SQL Course
CodecademyFeb, 2022- Nov, 2024 -
Ultramicrotomy for Transmission Electron Microscopy
Universidad Nacional Autónoma de MéxicoSep, 2017- Nov, 2024 -
Biological Sample Preparation for Transmission Electron Microscopy
Universidad Nacional Autónoma de MéxicoAug, 2017- Nov, 2024 -
Learning How to Learn: Powerful mental tools to help you master tough subjects
Coursera Verified CertificatesSep, 2014- Nov, 2024 -
Programmed cell death
CourseraAug, 2014- Nov, 2024 -
Understanding the Brain: The Neurobiology of Everyday Life
Coursera Verified CertificatesJul, 2014- Nov, 2024 -
Molecular Biology: a theoretical-practical course
UNAM Instituto de NeurobiologiaApr, 2014- Nov, 2024 -
Computational Neuroscience
CourseraJun, 2013- Nov, 2024 -
Cambridge University Certificate of Advanced English
English Key S.C.Aug, 2001- Nov, 2024
Experience
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Hospital of the university of Tübingen
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Germany
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Hospitals and Health Care
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300 - 400 Employee
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Machine Learning Engineer / Bioinformatician
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Mar 2023 - Present
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University of Tübingen
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Higher Education
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700 & Above Employee
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Machine Learning Engineer / Bioinformatician
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Mar 2023 - Present
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Data Science Consultant
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May 2022 - Mar 2023
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Weizmann Institute of Science
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Israel
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Research
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700 & Above Employee
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MSc in Life Sciences
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Oct 2018 - Jun 2021
*Data Scientist in biophysics research: Statistics of DNA motion within bacteria - I streamlined experimental design; data generation & wrangling; exploratory data analysis; computer vision, particle tracking, and statistics to increase analysis throughput by 50% (Over 50 GB of data). New biological insights for research venues were found. - Achieved 100% validation of microscope data workflow with Python simulations. Tech Stack: Python (pandas, numpy, matplotlib, seaborn, scipy, NetworX, Jupyter, scikit-learn, OpenCV), MATLAB (optimization, image processing, signal processing, curve fitting, statistics toolboxes), and git . *Data Scientist in computational biology research: Predictive model of plant cellular development - I predicted the spatial distribution of plant cells by creating a statistical model based on plant images. This work set the course for future research. Collaborated with researchers from Israel, Italy, and Mexico. Tech Stack: C++, Mathematica, R, MATLAB (clustering, regression, statistical modeling, optimization, distribution fit, symbolic math, image processing, Fourier analysis toolboxes), Linux, IBM Spectrum LSF. Show less
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UNAM
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Juriquilla, Querétaro, Mexico
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Research Assistant
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Jun 2017 - Aug 2018
* Created research protocols for C elegans studies with engineering by computer vision, electronics, and electron microscopy. Tech stack: Arduino UNO board, Python (OpenCV, Digital image processing, ImageJ), PCO Edge cameras, Camware software. * Created research protocols for C elegans studies with engineering by computer vision, electronics, and electron microscopy. Tech stack: Arduino UNO board, Python (OpenCV, Digital image processing, ImageJ), PCO Edge cameras, Camware software.
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Continental
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Germany
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Motor Vehicle Manufacturing
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700 & Above Employee
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Senior Radio Frequency Engineer
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Oct 2015 - Sep 2016
-Convinced Ford management to adopt Continental’s LTE module by presenting it at Ford’s HQ in Detroit, MI with LTE data streams. -Achieved data collecting of GPS test-drive streams simultaneously for three telematics units and reduced processing time by 33%. I collected the test drive data in Downtown Chicago Tech Stack: Rhode & Schwarz Radio Frequency measurement HW. -Convinced Ford management to adopt Continental’s LTE module by presenting it at Ford’s HQ in Detroit, MI with LTE data streams. -Achieved data collecting of GPS test-drive streams simultaneously for three telematics units and reduced processing time by 33%. I collected the test drive data in Downtown Chicago Tech Stack: Rhode & Schwarz Radio Frequency measurement HW.
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Intel Corporation
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United States
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Semiconductor Manufacturing
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700 & Above Employee
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Analog Engineer
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Oct 2009 - Sep 2015
* Optimized server power consumption by 40% with time series analysis and design recommendations. Increased CPU performance by 10% with an electromagnetics invention that became a patent (US8907756B2). *Promoted my engineering group by winning 1st place in the Intel Innovation Week 2012 presentations. I presented my invention to Tom Garrison and Victor Tymchenko, heads of Intel’s Data Center Group. Tech Stack: MATLAB, Ansys HFSS, SPICE, Cadence Electrical Design Suite. * Optimized server power consumption by 40% with time series analysis and design recommendations. Increased CPU performance by 10% with an electromagnetics invention that became a patent (US8907756B2). *Promoted my engineering group by winning 1st place in the Intel Innovation Week 2012 presentations. I presented my invention to Tom Garrison and Victor Tymchenko, heads of Intel’s Data Center Group. Tech Stack: MATLAB, Ansys HFSS, SPICE, Cadence Electrical Design Suite.
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Bio W Chem
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Guadalajara Area, Mexico
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Sales Engineer
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Aug 2007 - May 2008
* Showcased fire retardant products to government officials of the environmental agency of the State of Mexico and recorded the demonstrations. Involved in sales and provided technical consulting in this chemicals company. Involved in fire retardant product demonstrations for state government authorities of the State of Mexico. In charge of filming tests and supporting Bio W Chem engineers. * Showcased fire retardant products to government officials of the environmental agency of the State of Mexico and recorded the demonstrations. Involved in sales and provided technical consulting in this chemicals company. Involved in fire retardant product demonstrations for state government authorities of the State of Mexico. In charge of filming tests and supporting Bio W Chem engineers.
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Intel Corporation
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United States
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Semiconductor Manufacturing
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700 & Above Employee
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Signal Integrity Engineer
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Jan 2006 - Jul 2007
* Increased electrical models’ accuracy for Intel customers by 30% with simulation scenarios and statistical models from customers and experimental design using ML. Tech Stack: MATLAB, JMP Statistics Suite, HSPICE. * Increased electrical models’ accuracy for Intel customers by 30% with simulation scenarios and statistical models from customers and experimental design using ML. Tech Stack: MATLAB, JMP Statistics Suite, HSPICE.
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NI (National Instruments)
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United States
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Electrical Equipment Manufacturing
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700 & Above Employee
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RF Hardware Engineering Intern
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2005 - 2005
* Contributed to NI Week 2005 conference by designing an RF power amplifier that was used for showcasing NI's RF hardware to customers. Tech stack: Labview and Radio Frequency Hardware. * Contributed to NI Week 2005 conference by designing an RF power amplifier that was used for showcasing NI's RF hardware to customers. Tech stack: Labview and Radio Frequency Hardware.
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IEEE
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United States
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Non-profit Organizations
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700 & Above Employee
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Vicepresident
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2003 - 2004
Involved in the organization of the CIECE and Student Branch Conferences in 2004. Involved in inviting students to join IEEE and organizing and responsible for organizing IEEE student trips. Involved in the organization of the CIECE and Student Branch Conferences in 2004. Involved in inviting students to join IEEE and organizing and responsible for organizing IEEE student trips.
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Education
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Weizmann Institute of Science
Master of Science - MSc, Biology, Systems Biology, Biophysics, Computational Biology -
Tecnológico de Monterrey
B.S. EE, Electronics, RF, Telecommunications -
Coursera