Maximo Sanz Hernandez

Maximo Sanz Hernandez Email and Phone Number

Senior Data Scientist @ Canva @ Canva
surry hills, new south wales, australia
Maximo Sanz Hernandez's Location
Barcelona, Catalonia, Spain, Spain
Maximo Sanz Hernandez's Contact Details

Maximo Sanz Hernandez personal email

About Maximo Sanz Hernandez

I am a post-doctoral researcher at Imperial College with a passion for using Machine Learning to answer complex questions. I have a strong academic background and I'm always eager to learn more and apply new techniques.I highly value collaboration and teamwork, I believe in the importance of openly sharing and challenging ideas with teammates and people in different disciplines, as there is always something new to learn from their perspective.

Maximo Sanz Hernandez's Current Company Details
Canva

Canva

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Senior Data Scientist @ Canva
surry hills, new south wales, australia
Website:
canva.com
Employees:
1319
Maximo Sanz Hernandez Work Experience Details
  • Canva
    Senior Data Scientist
    Canva Sep 2022 - Present
    Sydney, New South Wales, Australia
  • Canva
    Data Scientist
    Canva Sep 2021 - Aug 2022
    Sydney, New South Wales, Australia
  • University Of Sydney
    Visiting Researcher
    University Of Sydney Mar 2019 - Sep 2021
    I was visiting at the Department of Pharmacology at the University of Sydney.I worked with of NMR and fluorescence data, extracting insight from image data as well as time series, developing new analysis methods to better understand the aggregation of proteins.In addition, I have consulted on the setup and configuration of a new GPU cluster for 3D structure reconstruction by Cryo Electron Microscopy.
  • Imperial College London
    Epsrc Doctoral Prize Fellow
    Imperial College London Oct 2018 - Sep 2021
    London, United Kingdom
    I was a post-doctoral fellow at Imperial College, where I develop Deep Learning models for 3D biophysical data. My research sits at the interface between experimental and theoretical modelling, developing new platforms to understand the complex nature of protein dynamics.During my professional years at Imperial College I have:- Designed and built end-to-end machine learning models and algorithms applied to protein biophysics, published and distributed as Python packages.- Led the computational efforts of our research team, by building and administering a 24-GPU cluster used for scientific computation by a large team of researchers. - Published 10+ articles in peer-reviewed journals, developing new algorithms for the interpretation of biophysical data, as well as applying state-of-the-art computational methods to better understand the formation of deadly diseases. I have presented my work at several international conferences.- Supervised the work of BSc, Masters and PhD students, ensuring the completion of successful and rewarding projects.
  • Imperial College London
    Phd Student
    Imperial College London Oct 2014 - Sep 2018
    London, United Kingdom
    I developed new methods for incorporating NMR data into molecular simulations of membrane protein dynamics.My research combined machine learning and theoretical modelling with experimental results from Nuclear Magnetic Resonance in order to accurately describe the dynamics of proteins in three dimensions.The project was funded by the Engineering and Physics UK research council (EPSRC).
  • Imperial College London
    Graduate Teaching Assistant
    Imperial College London Dec 2014 - Jan 2018
    London, United Kingdom
    I delivered Mathematics & Physics tutorials to classes of up to 20 students of BSc Biochemistry (2nd year). Demonstrated in Biochemistry laboratory practicals (protein folding and protein purification & NMR).
  • Elite Ib Tutors
    Tutor
    Elite Ib Tutors Jan 2013 - May 2017
    London, United Kingdom
    I provided IB students with help in Chemistry and Biology at standard and higher level. Over several years I have delivered over 100 hours of tuition.
  • Imperial College London
    Undergraduate Researcher
    Imperial College London Jul 2012 - Sep 2012
    London
    I worked in the Biochemistry department as part of the Undergraduate Research Opportunities Programme (UROP). The project focused on obtaining structural information about the binding of specific Nav1.7 blockers to their target using molecular biology techniques.
  • Institute Of Cancer Research
    Vacation Student
    Institute Of Cancer Research Nov 2011 - Dec 2011
    London, United Kingdom
    Worked in data analysis in the Molecular Cell Biology lab: quantification of retinal vasculature. Work acknowledged in ‘Blood, 2012 Aug 16; 120(7): 1516-27’.

Maximo Sanz Hernandez Skills

Computational Biology Protein Chemistry C Python Life Sciences Molecular Dynamics Biochemistry Molecular Biology Entrepreneurship Data Analysis Machine Learning

Maximo Sanz Hernandez Education Details

Frequently Asked Questions about Maximo Sanz Hernandez

What company does Maximo Sanz Hernandez work for?

Maximo Sanz Hernandez works for Canva

What is Maximo Sanz Hernandez's role at the current company?

Maximo Sanz Hernandez's current role is Senior Data Scientist @ Canva.

What is Maximo Sanz Hernandez's email address?

Maximo Sanz Hernandez's email address is ma****@****ail.com

What schools did Maximo Sanz Hernandez attend?

Maximo Sanz Hernandez attended Imperial College London, Imperial College London, Imperial College London, Colegio Los Pinos - Algeciras.

What skills is Maximo Sanz Hernandez known for?

Maximo Sanz Hernandez has skills like Computational Biology, Protein Chemistry, C, Python, Life Sciences, Molecular Dynamics, Biochemistry, Molecular Biology, Entrepreneurship, Data Analysis, Machine Learning.

Who are Maximo Sanz Hernandez's colleagues?

Maximo Sanz Hernandez's colleagues are Ivan Georgiev, Malcolm Crum, Megan Townes, Elena Kelareva, Alex Vosnakis, Marivic Caceres, Kaitlyn Tapia.

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