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Marcus Leiwe

Assistant Professor

Kyushu University

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Course

Introduction to Python

Data explorer, charting new territories in the realm of insights.

My Work

Take a look at my latest work.

course

Introduction to SQL

course

Introduction to Python

course

Introduction to SQL

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Intermediate SQL
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Metacell | Nov 2022 - Present

Technical Project Manager

N/A

University of Cambridge | Apr 2022 - Present

Visiting Researcher

On secondment as a visiting researcher in the Galliano lab to apply data science solutions to key neuroscience questions.
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Science to Data Science (S2DS) | Mar 2022 - Apr 2022

Data Science Fellow

- Worked with real-world financial data to predict the effectiveness and strategise the success of debt interventions in social housing using multivariate and hierarchical time series models - Adapted machine learning methods to best detect causal inferences - Translated business needs into planned agile sprint to deliver a rapid prototype - Devised and proposed to internal and external stakeholders a metric that drastically improved our classifications from an F1 score of 0.59 to 0.73

Kyushu University | Apr 2017 - Present

Assistant Professor

DEVELOPMENT OF ANALYTICAL TECHNIQUES FOR COMPUTER VISION - Formulated and oversaw the execution of research proposals utilising data science tools that have successfully secured over ¥14 million of investment - Provided authoritative technical input and directions to strategic decisions made by junior team members - Translated technical data into findings and recommendations from ML analysis at major international conferences MAPPING THE BRAIN'S CONNECTIVITY - Was an integral part of the observational study team to help create standard methodologies to classify data - Experienced in sophisticated data visualisation and visual analytics (e.g. tSNE and UMAP) of structured (>2 million points) and unstructured (>100GB) biological datasets and images - Designed a novel patent-pending, unsupervised clustering algorithm to provide novel scientific insights. - Built a scalable machine learning pipeline to clean data, engineer key features, and optimise data set performance, reducing the man-hours from the thousands to the tens. MACHINE LEARNING SOLUTIONS TO CORRECT FOR CHROMATIC ABERRATION IN 3D IMAGES - Integrated and maintained other research labs’ access to my ML tool to correct chromatic aberration - Supervise Python and Java implementations FACULTY ROLES - Mentored research students (data analysts) to analyse findings critically - Provided training on coding and statistical analyses - Designed and delivered quality undergraduate and graduate workshops teaching materials and lectures

RIKEN | Sep 2013 - Apr 2017

Post-doctoral Researcher at RIKEN CDB

N/A

London | Oct 2012 - Jul 2013

Post-doctoral Researcher

N/A

King's College London | Sep 2008 - Jul 2013

PhD Student in Developmental Neurobiology

The first person in history to describe the mouse dLGN in 3D.

King's College London | Sep 2007 - Aug 2008

Research Assistant

Research Assistant working under Prof. Juan Burrone on mechanisms involved in homeostatic plasticity, research was based on primary neuronal cultures

My Education

Take a look at my formal education

Doctor of Philosophy (PhD), Developmental NeurobiologyKing's College London, U. of London | 2013
Bachelor of Science (BSc), NeuroscienceKing's College London, U. of London | 2007

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