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Data-Centric Engineering
Data-Centric Enginering programme. Credit:Queen Mary University of London

Link Day 2023

Link Day brings together Doctoral Researchers and Staff from the four EPSRC-funded Mobility Pilot Doctoral Training Partnerships (DTPs) and their invited guests.

Sharing the aim of widening participation in doctoral training to include specifically those from industry and other non-academic backgrounds, the four Mobility Pilot DTPs are the:

The CDT in Data-Centric Engineering at Queen Mary is thrilled to be hosting Link Day 2023.

Link Day 2023 will take place on Monday, 4th September 2023 in the Graduate Centre on the Mile End Campus. The Graduate Centre is building n. 18 on the Mile End campus map [PDF 936KB].

Please note that only Doctoral Researchers and staff from the four Mobility Pilot DTPs and invited guests can attend Link Day 2023. RSVPs closed in August.

More information

For more information, please see the sections below:

Event Schedule

Directions and Accommodation


Event Schedule

Time Activity Location
9:30 - 10:00




Ground Floor Foyer, Graduate Centre

6th Floor Foyer, Graduate Centre

10:00 - 10:15 Welcome and opening remarks Room GC601 (6th floor)
10:15 - 10:30 Introductions Room GC601
10:30 - 11:45 Research Showcase (oral presentations) Room GC601
11:45 - 12:15 Keynote - Danni Croucher, Policy Lead for Skills and Talent, National Centre for Universities and Business (NCUB) Room GC601
12:15 - 13:40 Poster Session & Lunch 6th Floor Foyer
13:45 - 15:45 Breakout 1: Training  Room GC603 - DTP Researchers only
13:45 - 15:45 Breakout 2: Roundtable Room GC601 - Staff and invited guests only
15:45 - 16:00 Closing remarks Room GC601
16:00 - 17:30 Drinks reception (optional) 6th Floor Foyer

Directions to the Mile End Campus

The nearest stations on the London Underground are:

  • Stepney Green (on the Hammersmith and City and District lines - 5-min walk to the Graduate Centre)
  • Mile End (on Hammersmith and City, District, and Central lines - 10-min walk to the Graduate Centre)
  • Whitechapel on the Elizabeth line. To complete your journey from Whitechapel to the Graduate Centre on the Mile End campus, you can choose from the following options:
    • a 17-minute walk;
    • London Underground: one stop to Stepney Green on the Hammersmith and City or District line, plus a 5-minute walk;
    • a short bus ride - n. 25 to Ilford or 205 to Bow Church, nearest stop: Queen Mary University of London.

You can plan your journey using the Transport for London website

More information about the Mile End Campus

Directions to the Graduate Centre

The Graduate Centre is building n. 18 on the Mile End campus map [PDF 936KB].

The nearest campus entrance is on Bancroft Road. 

Find the QMUL Graduate Centre on Google Maps.


If required, the nearest hotel to the Mile End Campus is the Travelodge London Mile End.

Alternatively, the Travelodge London Bethnal Green is about 1 mile away from the Graduate Centre.  


Almost 40 people attended Link Day 2023 - and in doing so, helped make Link Day a success.

Read about some of our Link Day participants below (in alphabetical order by first name)

Amelia Eneli

Queen Mary University of London (DTP Researcher)

Research interests: Population Genetics (with a focus on mosquitoes / Malaria)

Contact Amelia: Email; LinkedIn

Christopher Jacks

University of Southampton (DTP Researcher)

Research interests: Microphone arrays for enhanced identification and classification of target signals in noisy environments

Email Christopher

Diane Mynors

Brunel University London (DTP Staff)

Research Interests: Manufacturing

Email Diane

Eram Rizvi

Queen Mary University of London (DTP Staff)

Research Interests: my work is related to applying statistical methods to 'unfold' or invert high dimensional observed data to correct for detector distortions. These inversion problems are suitable for machine learning approaches.

Contact Eram: Email; LinkedInStaff Profile

Gabriella Caminotto

Queen Mary University of London (DTP Staff)

Manager of the DCE CDT. My research interests include: the discursive devaluation and gendering of admin work; higher education studies, equality & diversity.

Contact Gabriella: Email; LinkedIn

George Wright

Queen Mary University of London (DTP Researcher)

Research Interests: Where is [some of] the Physical Internet and Who owns it?

Contact George: Email; Twitter; Website

Ioana Pisica

Brunel University London (DTP Staff)

Research Interests: Grid-edge technologies, energy efficiency, optimization techniques for power systems with renewable energy, machine learning for energy systems, power quality and smart metering.

Email Ioana

Jennifer Gibbard

University of York (DTP Staff)

Jen is the Admin Manager for York's participation in the EPSRC Mobility DTP.

Contact Jen: Email; LinkedIn

Job Oyebisi

Queen Mary University of London (DTP Researcher)

Research Interests: VR, haptics, generative AI, education, education, dental, education technology, NLP

Contact Job: Email; LinkedIn

Joseph Boyle

Queen Mary University of London (DTP Researcher)

Research Interests: Structuring Clinical Data in Electronic Health Records using Language Models

Email Joseph

Matteo Fumagalli

Queen Mary University of London (Academic Supervisor)

Our research group integrates population genomics with data science to address fundamental questions in evolutionary biology including in human evolution and disease susceptibility.

Email Matteo

Nikhil Raja

University of Southampton (DTP Researcher)

Maritime operations of the future will seek to become more connected and distributed, especially with the introduction of autonomous agents and the benefits which they bring.  My chosen area of interest explore the definition of this new type of capability, ways in which autonomy can be applied, how it can be implemented and how it can be managed

Contact Nikhil: Email; LinkedIn

Peter Lock

Queen Mary University of London (DTP Researcher)

Research Interests: The cannabinoid receptors CB1 and CB2 belong to the wide family of GPCR proteins which are responsible for the mediation of many cellular responses.  Although both CB1 and CB2 receptors may co-exist, CB1 receptors are found principally in the brain and central nervous system and are involved in the regulation of neurotransmitter release.  The abundance of both receptor types in the body exhibiting a wide range of functions makes them obvious targets in drug design campaigns where effective ligand design can affect the receptor signaling processes, mimicking the natural endocannabinoid system.  This work uses a variety Neural Network methodologies to generate de novo libraries of compounds that can be developed into lead compounds for biological screening with the specific aim of targeting the endocannabinoid system.

Contact Peter: Email; LinkedIn

Pryanka Vertesi

Queen Mary University of London (DTP Researcher)

There are thousands of mutations in a tumor cell, but only a fraction of these are dangerous and need to be treated. Identifying these mutations remains a big challenge in cancer treatment. The advancement of AI in this field is promising, and my research will hopefully bring us closer to solving this problem. I will focus on using AI to predict protein mutations. More specifically, I am looking at using graph neural networks to resemble protein molecules and will develop an AI tool to predict which “knockout” of genes, i.e. genes that are removed from the DNA, denatures the protein. The AI tool developed will be validated with a novel CRISPR technique in the lab.

Contact Pryanka: Email; LinkedIn; Twitter

Rashmi Deshpande

University of York (DTP Researcher)

Research Interests: Valorisation of agricultural residues

Contact Rashmi: Email; LinkedIn

Robert Atchison

University of Southampton (DTP Researcher)

Research Interests: How naturally occurring space weather may impact the data being transported via FSOC and what novel mitigations could be put in place to enhance data transfer rates.

Contact Robert: Email; LinkedIn

Robert Wood

University of Southampton (DTP Staff)

Research Interests: Tribology, sensing, coatings, antifouling, low drag and surface engineering

Contact Robert: Email; LinkedIn; Staff Profile

Sibi Catley-Chandar

Queen Mary University of London (DTP Researcher)

Research Interests: Neural Rendering and Computational Photography

Email Sibi

Victor Zanchi

University of York (DTP Researcher)

Research Interests: Embedding Green Chemistry into Consumer Goods Ecodesign

Contact Victor: Email; LinkedIn

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