Prof. Dr. Nellie Marangou

Nellie Marangou serves as the Vice President of Academic Affairs at Tomorrow University, overseeing Academics, Programme Operations, and Community teams. Her leadership focuses on driving learner success, satisfaction, and meaningful impact. With a passion for social mobility and diversity in the future of work, Nellie combines her expertise in education technology and a scientific foundation in data and physics to create transformative learning experiences. Her career spans research at Imperial College London, where she developed cutting-edge data analytics techniques in the search for dark matter, and impactful educational leadership, empowering a diverse generation of learners to thrive in data-driven fields.

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Previously worked for:

Multiverse, Decoded, Imperial College London

Skills you can learn

Statistical Modeling

Leadership in Data Fields

Durable Skill Development

Data-Driven Decision-Making

Coaching and Empowerment

Diversity Advocacy in Tech

Dark Matter Research Techniques

Program Development

Collaborative Problem Solvings

Research Profile

Key research areas and highlights.

Nellie Marangou’s research lies at the intersection of physics, data science, and statistical innovation. As part of the LUX-Zeplin dark matter experiment, she analyzed complex datasets to uncover insights into physical interactions at the subatomic level. Her work involved developing novel data-cleaning and statistical analysis techniques to interpret intricate datasets, pushing the boundaries of dark matter research. Notable contributions include pioneering methods to extend the sensitivity of detection systems and collaborating on groundbreaking publications, such as results from the LUX and LUX-ZEPLIN experiments. Nellie’s scientific rigor informs her dedication to fostering data-driven leadership and empowering others to solve complex challenges through education.

List of Papers

Featured publications:Extending light WIMP searches to single scintillation photons in LUX, (First Author, Published in Phys. Rev. D 101, 042001), 2020
First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment, (Contributing Author, Published in Phys. Rev. Lett. 131, 041002), 2023
Extending the physics reach of the LUX and LZ dark matter experiments by lowering the scintillation threshold, (PhD Thesis), 2023‍

Studenships

UK Science and Technology Facilities Council PhD Studentship

Awards

Anne Thorn PhD thesis price for development of new Data Analysis technique for Dark Matter Detection at Imperial College London
Dean’s List Award for outstanding (top 5%) BSc Academic Performance at UCL‍

Speaker

HolonIQ London 2023 Panel Speaker: “Reimagining training for the skills of tomorrow”
Tableau Conference 2022 Panel Speaker: “How to become an advocate for Data Literacy”

VP of Academic Affairs

Prof. Dr. Nellie Marangou

Driven by a passion for social mobility and sustainability, Nellie leads Academics, Programme Management, and Community at Tomorrow University. With a background in physics and data analytics, she brings a systems-thinking approach to building inclusive, transformative education.
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Biography

Dr. Nellie Marangou is Vice President of Academic Affairs at Tomorrow University, where she leads the Academics, Programme Operations, and Community teams. Her work is centered on driving learner success, satisfaction, and impact through inclusive, transformative education. With a background in physics and data science, she brings together scientific rigor and edtech innovation to build meaningful learning experiences. Nellie’s career spans high-impact research at Imperial College London and leadership roles in education technology, where she has championed social mobility and empowered diverse learners to thrive in data-driven fields.
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Previously Worked At
Multiverse, Decoded, Imperial College London
Logo Impact MBA - Tomorrow University of Applied Sciences
Logo Impact MBA - Tomorrow University of Applied Sciences
Logo Impact MBA - Tomorrow University of Applied Sciences
Logo Impact MBA - Tomorrow University of Applied Sciences

Research Profile

Nellie’s research lies at the intersection of physics, data science, and statistical innovation. As part of the LUX and LUX-ZEPLIN dark matter experiments, she developed advanced data-cleaning and analysis techniques to interpret subatomic interactions, extending the sensitivity of detection systems and contributing to groundbreaking publications. Her work combines complex data analytics with experimental physics and continues to inform her commitment to fostering data literacy, critical thinking, and leadership in today’s data-rich world.

List of Papers

Featured publications:Extending light WIMP searches to single scintillation photons in LUX, (First Author, Published in Phys. Rev. D 101, 042001), 2020
First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment, (Contributing Author, Published in Phys. Rev. Lett. 131, 041002), 2023
Extending the physics reach of the LUX and LZ dark matter experiments by lowering the scintillation threshold, (PhD Thesis), 2023‍

Studenships

UK Science and Technology Facilities Council PhD Studentship

Awards

Anne Thorn PhD thesis price for development of new Data Analysis technique for Dark Matter Detection at Imperial College London
Dean’s List Award for outstanding (top 5%) BSc Academic Performance at UCL‍

Speaker

HolonIQ London 2023 Panel Speaker: “Reimagining training for the skills of tomorrow”
Tableau Conference 2022 Panel Speaker: “How to become an advocate for Data Literacy”

Thesis Supervised

Cover of a thesis.

Title of the Thesis

First & Last Name
Impact Master of Science
Konrad joined Tomorrow University to pivot from corporate leadership into purpose-driven impact. Through the MBA, he deepened his expertise in tech and sustainability while gaining the confidence to embrace a new mission: amplifying change through strategy and storytelling. His journey includes launching the SDG Ambition Guide and producing films that inspire climate action.
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Teaching at Tomorrow University

Programs

Logo Impact MBA - Tomorrow University of Applied Sciences

Skills You Can Learn

Statistical Modeling

Leadership in Data Fields

Durable Skill Development

Data-Driven Decision-Making

Coaching and Empowerment

Diversity Advocacy in Tech

Dark Matter Research Techniques

Program Development

Collaborative Problem Solvings

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