“Scientists investigate that which already is;
Engineers create that which has never been.”
Albert Einstein

<how I was assembled>

I am an award-winning, passionate computer scientist, inventor, Chartered Engineer, entrepreneur, smart cities designer, pianist and violinist.

Queen Elizabeth Prize for Engineering Ambassador


I hold a BSc in Computer Science (Summa Cum Laude) and I was the valedictorian student honoured by the University and the Brazilian Computer Society as the best student. I was also a scientific initiation fellow and conducted research on AI which was presented and published at International Conferences.

I hold a MSc (2 years program – MPhil) in Electrical Engineering (Summa Cum Laude – GPA: A). My MPhil thesis created new technologies for image restoration and quantum noise reduction which, combined, enable early detection of breast cancer in women by AI Computer Aided Diagnosis tools. My work paved the way to additional algorithmic steps to be created to reduce radiation exposure in cancer patients by 20% to 30%.

I have a Ph.D. in Computer Science from UCL in an joint program at Imperial College London (Business School) and Massachusetts Institute of Technology (School of Architecture and Planning). My PhD research has contributed to a growing body of knowledge in smart cities and urban data management. The real world case studies I’ve carried out during her PhD became the City Data Market Strategy of the Mayor of London at the GLA, and was used to design Urban Platforms for over 40 cities via European Commission’s project. My Ph.D. thesis provides a comprehensive technical and dynamic model and reference architecture for cities to:
– Create their data strategy, technology roadmap and blueprint;
– Design and realise large scale highly interconnected data infrastructures.

Technical Expertise

I’ve worked in a multitude of multidisciplinary projects: I’ve designed and developed expert systems for loan application evaluation, demand forecasting methods for large supply chains, digital imaging processing techniques, applications and methods to assist the early detection of cancer, neuroimaging,  urban mobility and smart homes applications, augmented reality applications for smart buildings, and large scale data infrastructures for smart cities.

Ph.D. Thesis / Academic Career

My academic experience started when I was 23 and was invited to teach in BSc in Computer Science and MBA in Logistic Systems programs. I was a Visiting Lecturer at University of Parana, a Teaching Assistant at UCL, Lancaster University, University of Sao Paulo, and a Lecturer at University Centre Barao de Maua. I’ve supervised/co-supervised over 20 BSc/MSc dissertations and projects, some of which were considered outstanding projects in software engineering (IoT, Smart Homes), and a project which became an embedded feature in the Microsoft Visual Studio. These projects were part of an alliance between UCL and organisations such as Microsoft, Satalia, Credit Suisse.

I have published over 20 research papers in leading academic journals, books and conferences, and am a frequent conference speaker and my PhD thesis have been published as a book by the IET.

Entrepreneurship / Industry Experience

At the age of 21 I founded a software start up called AppStudio which provided unique and inventive applications to large retail and architecture companies, and Universities.

I’ve over 15 years of industry experience. I have +15 years of experience as a software systems engineer and designer of ultra-large highly interconnected systems. I’ve worked for Oracle, IBM, ARUP, the Bank of Brazil, Smar, University of Sao Paulo, and Central Government, among others. I was a Director of Product Management at Oracle, leading on the development of tools to industrialise machine learning.

My passion is to use technology for the benefit of mankind, in medical areas and in smart cities. For Arup and IBM I’ve used IoT and AR devices to spot energy waste, manage resources, locate hidden assets, and manage predictive maintenance by exploiting data from instrumenting smart buildings.

For the European Commission, she led the development and delivery urban platforms, and for London Government the delivery of a GIS platform to support the London Infrastructure 2050 Plan. The platform provides analytics, points where infrastructure investment plans across the key sectors should go, assesses infrastructure capacity, and opportunities for joint delivery and expected saving. Elimination of 1% pa of congestion caused by road works using the tool helps the capital to saving £4.2M. This significantly exceeds the cost of developing the tool to date. In 2019, Dr Suzuki was brought back to the GLA to upgrade the tool. The Mayor stated, on releasing V3 of the IMA, that the tool is predicted to continue supporting good growth and support tackling the huge cost of congestion (£6.2B, forecast to rise to £9.3B by 2030 – in 2018, roadworks caused 15%, ~£900M, of this and costs London drivers an average of 227 hours and £1,680).

I’ve also worked at Founders4Shools delivering AI solutions to stimulate the tech talent pipeline for the long term and help to address skills gaps in the Labour Market. In 2018, she joined Oracle to and worked a Director and managed the work of 24 data scientists. At Oracle, I worked on the delivery of a new Machine Learning (ML) framework to allow the migration of previous ML from Oracle “On Premise” solutions to Oracle Cloud (OCI), to save $100Ms to Oracle with cloud migration. I have also filed 10 patents for the invention of a unified framework for AutoML at Oracle.

I currently serve as an Honorary Associate Professor at UCL in the Department of Computer Science.

Conferencing / Honours and Awards

I am a frequent keynote, panel and tutorial speaker (including a TEDx), and have received numerous awards, scholarships and recognitions from Intel, EPSRC, BFWG, Google, ACM, EIT Digital, McKinsey & Company, Inspiration Awards for Women. I’ve co-organised numerous conferences and events (including the Global Smart Cities Hackathon), and have been a committee member of the Grace Hopper Conference since 2014.

I have multiple conference/journal publications, and serve as a reviewer of the IEEE Computers, Journal of Digital Image (Springer), IEEE Transactions of Signal Processing. I am a member of the All Party Parliamentary Group (APPG) on Smart Cities, City Protocol, IEEE, ACM, and elected member of the TCN of the IET.

Volunteering / Advocating for Women and Diversity in Tech

Volunteering, teaching and mentoring within the community are extra-curricular activities that I’ve pursued for many years. Since 2006 I’ve been actively working towards increasing the representation of women in Computer Science. I am the founder and head of the TLA Smart Cities Working Group (Tech London Advocates).

I am the founder of UCLWE and UCLWE Lean IN, a student society dedicated to provide support to the professional, personal and academic development of all women engineers at UCL. I co-organised the London Hopper Colloquium, served a member of the Diversity and Leadership group at the Royal Academy of Engineering, served as a member of the Athena Swan Committee (UCL/Computer Science), was the Community Leader of the ABI.London, and am currently a committee member of the Grace Hopper Celebration of Women in Computing (research posters & papers for technical tracks, ACM research competition judge, ABIE Awards).