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  • (3 reviews)
K
Kim
« Highly recommend Peter! He is a very professional, knowledgeable and... More »
K
Kim
« Highly recommend Peter! He is a very professional, knowledgeable and experienced tutor in the fields of computer science and physics. Peter is also really dedicated to his students and adapts his tutoring style to their needs, which in turn maximises their learning. »
$56/h
1st lesson free!
Verified profile and diploma
Response Time 2h
Lessons offered by Peter
  • Individual
  • In group
The lessons will be held
  • By webcam
Taught subjects
  • Computer programming
  • Python
  • Artificial intelligence
Levels
  • Elementary School
  • Middle School
  • Sophomore
  • Junior
  • Senior
  • Advanced Technical Certificate
  • Adult Education
  • Beginner
  • Intermediate
  • Advanced
  • Proficient
  • For children

Oxford Researcher in Machine Learning for Healthcare offering Statistical Learning Python Classes

Methodology

I strive to establish an open and engaging communication with my students. I allow the student to set the working agenda and topics of interest. Progress over time is tangible and can have a significant impact on career development and employment opportunities.

Background

I am a Researcher at the University of Oxford using the newest Machine Learning and Computational Techniques to answer questions in Medicine and Healthcare. My background in Physics and Applied Mathematics allows me to quickly grasp notions and apply them to biomedical data.

Rates

Rate for online lessons : $56/h

Details

Can be discussed based on circumstances.

Lessons offered by Peter
Individual
In group
The lessons will be held
webcam
Taught subjects
  • Computer programming
  • Python
  • Artificial intelligence
Levels
  • Elementary School
  • Middle School
  • Sophomore
  • Junior
  • Senior
  • Advanced Technical Certificate
  • Adult Education
  • Beginner
  • Intermediate
  • Advanced
  • Proficient
  • For children

Peter's resume

SUMMARY
Oxford University Computational Biology PhD student focusing on Cardiac Modelling.
Master’s level theoretical Physics completed at Imperial College London with a background in computational physics.
Fluent in 4 European languages, namely English, French, Italian and Bulgarian.
EDUCATION
2016 – 2020
University of Oxford, Phd in Computer Science
Basic science approach to understanding a rare type of heart disease, Arrhythmic Right Ventricular
Cardiomyopathy (ARVC)
Multi-scale, personalised, high performance computer models are used to provide information into the workings of this unknown clinical entity.
Sophisticated imaging techniques are used to gain visual insight into the working heart.
State of the art computer science techniques are employed to solve previously unsolved problems in the field of Biomedical Engineering.
Noteworthy modules: - Machine Learning Methods for Regression and Classification
- Image Registration, Segmentation, Correlatation and Collocalisation using
Machine learning/statistical methods

2011 – 2016 Imperial College London, MSci Physics – 1st Class Honours
Master’s Project in Biophysics: Computational Modelling of the Right Atrium of the Human Heart during Atrial Fibrillation
Msci project includes algorithm development, 2D/3D simulations and real time visualisation of systems in C++, data analysis in Python
Noteworthy modules and projects: Mathematical Analysis, Modeling of Solitons via Partial Differential Equations, Modeling of Complex Dynamical Systems, eg.The Sand Pile Model , Statistical Mechanics

2003 – 2011 European School of Varese, Italy European Baccalaureate

WORK EXPERIENCE
2015 - Diamond Light Source, Data Science Intern
Worked as part of Data Science team at National Synchrotron, handling challenges of big data.
Supported senior software engineers, helping to analyse the data produced by the synchrotron.
Enhanced Python Object Oriented programming skills and image analysis skills.
Developped software to be used by the Data Science team at the laboratory.
Enhanced report writing and presentation skills.

ACHIEVEMENTS
2016 Co-founder and committee member of Imperial College Mental Health Student Society, a student led, non-profit organisation which seeks to improve the students’ mental health.
Consulted the university on how to efficiently employ available funds for the betterment of mental health on campus. Helped to attract an additional £1.4 million as a result of our activity.
Contributed to the development of an action plan for the various activities and campaigns, as well as executing the planned tasks.
Designed and deployed a university wide survey.
Teaching Experience with Teach First, St. Marylebone’s Church of England School

TECHNICAL SKILLS
Machine Learning Methods for Image Analysis and Data Harversting
Big Data Manipulation
Programming skills: C++, Python, Matlab, R
Linux Proficiency
Git Hub User (concealed information)
INTERESTS
Sport
Tennis – National Ranking, competitive player, tennis coach, won the United Hospitals London Tennis
League.
Volleyball – Oxford University team member.
Skiing – Advanced skier, gold skiing certificate obtained in Pila, Aosta Valley in 2009.
Economic and Political Awareness
Participated at the Model European Council Meeting in 2011
Informed and curious individual.

The 3 reviews on Peter
  • 5/5

All our ratings are collected by us and are in confidence, they correspond to a real experience.

3 recommendations

K
Kim

Highly recommend Peter! He is a very professional, knowledgeable and experienced tutor in the fields of computer science and physics. Peter is also really dedicated to his students and adapts his tutoring style to their needs, which in turn maximises their learning.

M
Matteo

Peter has tutored students at various different levels (high school, undergraduate) for over 5 years. He's very intelligent but is humble about it. Peter is one of the few people who can tailor their teaching style to suit the needs of their students and is as proficient at teaching high school physics as he is explaining electrical cardiovascular signal.

G
Giulio

I've known Peter for a few years while we were (are) fellow student at university. During this time he has been quite active in tutoring, he has taught many students at varying education levels and he really seems to enjoy it. He has been extensively working with python during his post-graduate degree and has become a quite knowledgeable python programmer.

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