# David Salvador-Jasin

![David Salvador-Jasin](/resources/cognition/portraits/david-salvador-jasin-phd.webp)

Applied AI Engineer at Cognition (Devin), ex-Senior Research Software Engineer at The Alan Turing Institute, PhD in computational combustion  
Cognition  
United Kingdom

## At Cognition

- Role: Applied AI Engineer (Engineering)
- Joined: Aug 2026
- How they joined: Directly
- Before Cognition: Data Lead, Department for Energy Security and Net Zero

## Identity
- LinkedIn: https://www.linkedin.com/in/david-salvador-jasin
- GitHub: https://github.com/dsj976
- Domain: cognition.ai

## Notes
- Joined Cognition (operator of Devin) as an Applied AI Engineer in August 2026 and announced it verbatim: "Super excited to share that I have joined Cognition as one of the first Applied AI Engineers in Europe! Cognition operates Devin AI, the first autonomous software engineer. Looking forward to being part of the biggest revolution in computing since the invention of software!" (https://www.linkedin.com/posts/david-salvador-jasin_newjob-activity-7499672186576609280-fKrb)
- Being "one of the first Applied AI Engineers in Europe" coincides with Cognition announcing a new London office and UK team growth of more than 200% in six months (Oct 2026). (https://www.linkedin.com/posts/cognition-ai-labs_building-in-london-activity-7518934339192004610-kULq)
- Left The Alan Turing Institute in August 2026, posting verbatim: "This was my last week at The Alan Turing Institute, which has been my home for the past four years. I joined the Research Engineering Group in August 2022, straight out of my PhD, where I had recently been promoted to Senior Research Software Engineer." He added "Now it’s time for new challenges and new adventures. More on that soon." (https://www.linkedin.com/posts/david-salvador-jasin_this-was-my-last-week-at-the-alan-turing-activity-7494372465578733568-dduJ)
- A second GitHub account, dsalvadorjasin, carries the bio "Applied AI @ Cognition" and hosts "A production-grade implementation of an Investment Portfolio Management System created for testing LLM translation of real world legacy applications". (https://github.com/dsalvadorjasin)
- Current role is Applied AI Engineer at Cognition. (https://www.linkedin.com/in/david-salvador-jasin)
- At the Turing Research Engineering Group (Aug 2022 - Aug 2026) he supported "research software for digital twins, psychotherapy research, and weather forecasting", specialising in efficient data-driven weather forecasting tools. (https://www.linkedin.com/posts/david-salvador-jasin_this-was-my-last-week-at-the-alan-turing-activity-7494372465578733568-dduJ)
- Seconded in 2025 as GHGI Data Lead at the Greenhouse Gas Inventory within the Department for Energy Security and Net Zero, a year-long part-time secondment improving data engineering workflows and cloud analytics platforms and advising on digital initiatives within the National Atmospheric Emissions Inventory (NAEI). (https://www.turing.ac.uk/people/spotlights/david-salvador-jasin)
- Co-creates SVD-ROM, an open-source Python package for scalable Reduced Order Modeling of large dynamical systems via Singular Value Decomposition built on Dask, alongside Robert Vava; he posted that the project "is actively looking for contributors". (https://github.com/SVDROM/svdrom)
- Published "Principal component analysis and K-means clustering of fuel-air mixing in gas turbine combustors" in Data-Centric Engineering (vol. 7, 2026, DOI 10.1017/dce.2026.10039) with Loughborough co-authors A. Duncan Walker and Jon F. Carrotte, his NCCAT PhD research group. (https://www.cambridge.org/core/journals/data-centric-engineering/article/principal-component-analysis-and-kmeans-clustering-of-fuelair-mixing-in-gas-turbine-combustors/FF0379A775F8A39F8DE6D1CE66146802)
- Contributed parallelized bootstrap aggregation (bagging) for Dynamic Mode Decomposition to the open-source PyDMD package, with Dask handling parallelization; he is a commit author on the BOP-DMD user manual. (https://github.com/PyDMD/PyDMD/blob/master/tutorials/user-manual1/user-manual-bopdmd.py)
- Completed Helsinki's Master's-level Big Data Platforms course (grade 5/5, Nov 2025), earned Palantir Foundry Aware certification (Mar 2026) and took Stanford Mining Massive Datasets with Turing colleagues (Jan 2026). (https://www.linkedin.com/posts/activity-7394391711461879808-K6q3)
- Spoke at FOSDEM 2025 (HPC, Big Data & Data Science devroom, 2 Feb 2025) on "Explainable forecasting from big weather data: rapid and sustainable solutions" while a Research Data Scientist at the Turing. (https://archive.fosdem.org/2025/schedule/speaker/david_salvador-jasin/)
- PhD (2018-2022) at Loughborough University in the National Centre for Combustion and Aerothermal Technology (NCCAT), sponsored by Rolls-Royce plc; thesis "Latent variable analysis of mixing and soot production in gas turbine combustors" using LES and PCA/PLS/clustering reduced-order methods. (https://repository.lboro.ac.uk/articles/thesis/Latent_variable_analysis_of_mixing_and_soot_production_in_gas_turbine_combustors_Redacted_version_/22650265)
- Public headline says "Applied AI Engineer at Cognition". (https://www.linkedin.com/in/david-salvador-jasin)
- After leaving the Turing he was a technical advisor (Apr-Aug 2026) to an early-stage biotech startup working on early detection of Chronic Kidney Disease; the startup is not named publicly. (https://www.linkedin.com/in/david-salvador-jasin)
- Returned to FOSDEM in 2026 ("Great to be back at FOSDEM 2026, the world’s largest Open Source Software conference!") and announced a PyData talk on SVD-ROM with Robert Vava in January 2026. (https://www.linkedin.com/posts/david-salvador-jasin_opensource-activity-7423336444712181760-_6kq)
- Holds an MRes in gas turbine aerodynamics from the University of Cambridge (2017-2018) and a First Class BEng in Mechanical Engineering from the University of Strathclyde (2013-2017). (https://www.turing.ac.uk/people/david-salvador-jasin)
- Undergraduate research at Strathclyde: 2016 EPSRC-funded intern in the James Weir Fluids Laboratory (power-law flows in planar sudden expansions) and 2017 research assistant at the Advanced Forming Research Centre under Dr Aurik Andreu on surface emissivity measurement for hot forging. (https://www.linkedin.com/in/david-salvador-jasin)
- I am a research software engineer specializing in interdisciplinary, data-driven scientific software for real-world applications. I currently develop computationally efficient methods for data-driven weather forecasting and have advised the UK Government on national digital infrastructure. I also contribute to a health-tech startup advancing early detection of chronic kidney disease. I am an active open-source contributor and hold a PhD in computational combustion aerodynamics, with an academic; this comes from the profile summary and preserves the person's own positioning. (https://www.linkedin.com/in/david-salvador-jasin)
- Previous roles include Applied AI Engineer at Cognition; Technical Advisor; Senior Research Software Engineer at The Alan Turing Institute; Data Lead at Department for Energy Security and Net Zero; Teaching Assistant at Loughborough University; Doctoral Researcher - Aeronautical Engineering at Loughborough University; Research Assistant at Advanced Forming Research Centre, University of Strathclyde; Research Intern - Computational non-Newtonian Fluid Mechanics at University of Strathclyde, James Weir Fluids Laboratory. (https://www.linkedin.com/in/david-salvador-jasin)
- Education history includes Doctor of Philosophy - PhD, Aeronautics/Aviation/Aerospace Science and Technology, General, Loughborough University; Master of Research - MRes, Aerospace, Aeronautical and Astronautical Engineering, University of Cambridge; Bachelor of Engineering - BE, Mechanical Engineering, University of Strathclyde. (https://www.linkedin.com/in/david-salvador-jasin)
- Mentioned by Ibrahim Habli (@IHabli, University of York) on X after a conversation with Ed Chalstrey and David Salvador-Jasin from the Turing about AI, AI safety and interdisciplinary work. (https://x.com/IHabli)
- Taught Fluid Mechanics, Thermodynamics and CFD as a teaching assistant in Loughborough's Aeronautical and Automotive Engineering Department (2019-2022). (https://www.linkedin.com/in/david-salvador-jasin)
- Location is United Kingdom. (https://www.linkedin.com/in/david-salvador-jasin)

## Experience
- Applied AI Engineer at Cognition (Aug 2026 - Present): Cognition operates Devin, the first autonomous software engineer.
- Technical Advisor (Apr 2026 - Aug 2026): Technical advisor at an early stage biotech startup advancing technologies for early detection of Chronic Kidney Disease (CKD).
- Senior Research Software Engineer at The Alan Turing Institute (Aug 2022 - Aug 2026): Development of robust and maintainable scientific software at The Alan Turing Institute, the UK's National Institute for Data Science and Artificial Intelligence. I specialised in the development of efficient data-driven weather forecasting tools.
- Data Lead at Department for Energy Security and Net Zero (Jan 2025 - Dec 2025): I was seconded to the Department for Energy Security and Net Zero (DESNZ), where I provided technical advice to the UK Government on the digital upgrade of the UK’s Green-
house Gas Emissions Inventory, harnessing cloud technologies and big data analytics.
- Teaching Assistant at Loughborough University (Oct 2019 - Jul 2022): I provided teaching support in the Aeronautical and Automotive Engineering Department for multiple subjects: Fluid Mechanics, Thermodynamics and Computational Fluid Dynamics (at undergraduate and postgraduate levels)
- Doctoral Researcher - Aeronautical Engineering at Loughborough University (Oct 2018 - Jul 2022): Doctoral research at the National Centre for Combustion and Aerothermal Technology (NCCAT), sponsored by Rolls-Royce plc.
Thesis: "Latent variable analysis of mixing and soot production in gas turbine combustors".
I employed high-fidelity numerical simulations of reacting flows (LES), multivariate statistical methods and reduced order modeling (principal component analysis, PLS regression, clustering) to analyze fuel-air mixing and soot emissions in jet engine combustion chambers.
- Research Assistant at Advanced Forming Research Centre, University of Strathclyde (Jun 2017 - Aug 2017): Heating technologies research assistant under the supervision of Dr Aurik Andreu.

During this summer placement I helped develop a suitable novel method of surface emissivity measurement for hot forging applications, where accurate measurement of temperature is crucial for the quality of the product and the energy efficiency of the manufacturing process. Knowledge of the numerical value of emissivity as a function of temperature and wavelength is essential in radiation thermometry.

I worked closely with my supervisor and engineers from the AFRC's industrial partners. I also performed an in-depth literature review of radiation thermometry and numerical simulations of the heat transfer mechanisms in an emissivity calibration furnace using Matlab and ANSYS.
- Research Intern - Computational non-Newtonian Fluid Mechanics at University of Strathclyde, James Weir Fluids Laboratory (May 2016 - Aug 2016): I carried out a numerical study of power-law flows in planar sudden expansions, funded by the EPSRC, which helped me expand my knowledge of computational fluid dynamics and non-Newtonian fluid mechanics, introducing me to academic research for the first time.

Power-law flows in sudden expansions are relevant in several industrial and medical applications, such as in the case of abdominal aortic aneurysm. Blood is a non-Newtonian, shear-thinning fluid which can be modelled as a power-law fluid.

Supervisors: Dr Mónica S. N. Oliveira, Dr Konstantinos Zografos

## Education
- Loughborough University - Doctor of Philosophy - PhD, Aeronautics/Aviation/Aerospace Science and Technology, General - (Jan 2018 - Dec 2022)
- University of Cambridge - Master of Research - MRes, Aerospace, Aeronautical and Astronautical Engineering - (Jan 2017 - Dec 2018)
- University of Strathclyde - Bachelor of Engineering - BE, Mechanical Engineering - (Jan 2013 - Dec 2017)

## Sources
- https://www.linkedin.com/in/david-salvador-jasin
- https://www.linkedin.com/posts/david-salvador-jasin_newjob-activity-7499672186576609280-fKrb
- https://www.linkedin.com/posts/david-salvador-jasin_this-was-my-last-week-at-the-alan-turing-activity-7494372465578733568-dduJ
- https://www.turing.ac.uk/people/spotlights/david-salvador-jasin
- https://archive.fosdem.org/2025/schedule/speaker/david_salvador-jasin/
- https://github.com/SVDROM/svdrom
- https://www.turing.ac.uk/people/david-salvador-jasin
- https://x.com/IHabli
- https://github.com/PyDMD/PyDMD/blob/master/tutorials/user-manual1/user-manual-bopdmd.py
- https://www.cambridge.org/core/journals/data-centric-engineering/article/principal-component-analysis-and-kmeans-clustering-of-fuelair-mixing-in-gas-turbine-combustors/FF0379A775F8A39F8DE6D1CE66146802
- https://www.arxiv.org/list/cs/recent?skip=1259&show=1000
- https://www.linkedin.com/company/cognition-ai-labs/posts
- https://www.linkedin.com/posts/david-salvador-jasin_opensource-activity-7423336444712181760-_6kq
- https://github.com/dsalvadorjasin
- https://repository.lboro.ac.uk/articles/thesis/Latent_variable_analysis_of_mixing_and_soot_production_in_gas_turbine_combustors_Redacted_version_/22650265
- https://github.com/dsj976
- https://orcid.org/0000-0001-8892-2410
- https://www.linkedin.com/posts/cognition-ai-labs_building-in-london-activity-7518934339192004610-kULq
- https://www.linkedin.com/posts/cognition-ai-labs_wells-fargo-technology-eng
- https://www.linkedin.com/posts/activity-7394391711461879808-K6q3


Researched with Autumn (https://www.autumn.ai) from public sources. Updated 2026-11-04. Profile: https://www.autumn.ai/resources/cognition/people/david-salvador-jasin-phd · Everyone at Cognition: https://www.autumn.ai/resources/cognition/people