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Daniela Valdes

About me

I am an accomplished healthcare executive and part-time PhD candidate working on multidisciplinary research around digital health innovation, under joint supervision of Professor Rob Procter (Artificial Intelligence and Human-centred computing) and Gabriele Pergola (Computer Science NLP group) and Dr Dimitrios SpyridonidisLink opens in a new window (Leadership - WBS).

Through my research and professional practice, I am looking to transform organisations using AI, automation and digital technologies, more recently with a focus on AI-enabled board effectiveness.

I hold an MSc in Economics (UCL) and Diploma in Global Healthcare Delivery (Harvard). My international experience spans private/public/charitable/academia/multilaterals including the World Bank and Deloitte.

More about my experience and trajectory can be found on my linkedin profile.

Research interests (updated Summer 2024)

I have varied research interests and I'm looking to collaborate with others in these areas. More broadly, I am available for speaking engagements and can provide a business/strategic, policy or operational angle to the challenges and opportunities brought digital transformation, (healthcare) policy reform and pandemics. Do get in touch for a chat.

  • Artificial Intelligence (AI) for collective leadership. I use large language models and tools such as ChatGPT to explore and measure leadership and board effectiveness. I use this to process executive board reports and text data focusing on leadership for digital innovation in the National Health Service in England during the 2017-2023 period. A pre-print will be published later in 2024
  • Sustainability of Telemedicine. Currently on pre-print a systematic review of the sustainability of telemedicine in healthcare settings (community, outpatients, primary care), including its impacts on health inequalities and trust in the patient-clinician relationship.
  • Research practice and methods. Automation, reproducibility, systematic reviews. I have been recently reflecting on opportunities and challenges of automation in academic settings through the lens of academic software. I build upon established frameworks related to trust in technology and its impacts on research practice. I am particularly interested in systematic review methods and act as reviewer for reputable journals such as the Journal of Medical Internet Research and JBI Evidence Synthesis.
  • Computational and Socio-Technical Grounded Theory. I use these research frameworks to inform my research practice.
  • Artificial Intelligence (AI), Algorithmic transparency, and Intelligence Augmentation. In my professional practice I have provided strategic advice to healthcare systems and providers regarding the implementation of AI-enabled health services, dabbling in areas related to data privacy, AI/Algorithmic transparency and health inequalities as we move to AI-enabled triage systems. I have open questions on Intelligence Augmentation and how it can balance AI.

Commercial interests (updated Summer 2024)

I am exploring alternative revenue streams including:

1) I have now founded Noren.AI, a commercial application of my research in the board governance/leadership and OD space, looking for co-founders, collaborators and seeking to establish an advisory board.

2) Becoming equity co-founder of other AI-enabled ventures in a CTO, CDIO, COO or Chief of Staff roles, particularly with a focus on healthtech, digital health or medical devices.

3) Wider consulting and training in AI towards boards, academic teams, and older adults.


Winner Community Enrichment Scheme, Alan Turing Institute, UK 2024

Shortlisted for the Hopper Colloquium, British Computing Society, 2023

Twice awarded Warwick Computer Science best presentation for AI and Natural Language Processing 2023/2024 (swayLink opens in a new window)


daniela [dot] valdes [at]

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