AG

Alessandro Guazzi

Founder of Hello Vet

London Area, United Kingdom

Overview 

Alessandro Guazzi is the Co-founder and COO of Hello Vet, a startup in the digital health sector based in London, United Kingdom. With a background in biomedical engineering and extensive experience in AI, machine learning, and computer vision, Alessandro has successfully led the development of innovative healthcare solutions and played a key role in the growth of Hello Vet. Notable highlights of Alessandro's career include co-founding Hello Vet and serving as the CEO of Sentimoto, showcasing his leadership in founding and scaling healthcare-focused startups, as well as his expertise in AI and cognitive technologies from his time at Babylon Health.

Work Experience 

HV

Hello Vet

  • Co-Founder

    2023 - Current

OV

Optum Ventures

  • Healthcare Venture Capital

    2020 - 2023

Optum Ventures provides capital and strategic guidance to startup companies solving health care's pressing challenges.

optumventures.com
BH

Babylon Health

  • AI Cognition

    2019 - 2020

    Research Lead for Health Management within Babylon. Responsibilities including the development of consumer-facing behavioural health products, identification and review of M&A opportunities, and design and leadership for a population health service transformation contract with the NHS.

S

Sentimoto

  • CEO / Co-Founder

    2016 - 2019

    Company tackling SDoH through community interventions and passive behavioural measurement with a focus on older people and social isolation. Exited to Babylon Health.

Uo

University of Oxford

  • DPhil Researcher

    2011 - 2016

    DPhil student at the University of Oxford, as part of the Centre for Doctoral Training program in Healthcare Innovations. My academic work focused on remote non-contact vital sign monitoring using video with the objective of deriving oxygen saturation using RGB cameras.

LS

Laboratoire SIGMA (Signaux, Modeles et Apprentissage Statistique)

  • Intern

    2009 - 2010

    At the SIGMA laboratory, I was involved in finding a machine learning approach to classifying neocortical interneurons. Work was done on feature selection through Gram Schmidt Orthogonalisation and the classification was done by applying PCA, LDA, SVMs and neural networks. The work was carried out on Matlab.

Institute of Biomedical Engineering, Imperial College

  • Intern Student

    2009 - 2009

    During my time at IBE I worked with a PhD student on the characterisation of platinum electrodes to be applied to the vagus nerve. This experience gave me a firm grasp of basic electrochemical techniques and also gave me the opportunity to create representative circuits to model the electrodes.

Education 

Articles About Alessandro

Relevant Websites