Thomas Dybdahl Ahle Email & Phone Number
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Who is Thomas Dybdahl Ahle? Overview
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Thomas Dybdahl Ahle is listed as Head of ML at Normal Computing, based in Copenhagen, Capital Region Of Denmark, Denmark. AeroLeads shows a work email signal at fb.com and a matched LinkedIn profile for Thomas Dybdahl Ahle.
Thomas Dybdahl Ahle previously worked as Head of ML, Research Scientist at Normal Computing and Research Scientist at Meta. Thomas Dybdahl Ahle holds Bachelor Of Arts (Ba), Computer Science from University Of Oxford.
Email format at Normal Computing
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About Thomas Dybdahl Ahle
Machine Learning Scientist at Normal Computing, where I work on auto-formalizing systems for advanced hardware. Previously, I was a Research Scientist at Meta, focusing on scaling language models and ranking algorithms. I completed my PhD in Locality Sensitive Hashing at the University of Copenhagen (2019), where I also co-founded an award-winning NLP startup as Chief of ML. My research interests span algorithms, machine learning, and software engineering, with a particular emphasis on large-scale AI systems and efficient data structures. I have a broad background, having done previous work on algorithmic optimization, natural language processing, and scalable machine learning architectures.
Listed skills include Php, Java, Python, Sql, and 23 others.
Thomas Dybdahl Ahle's current company
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Thomas Dybdahl Ahle work experience
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Research Scientist
I lead the Machine Learning Efficiency group at Meta Probability, focused on scaling AI across the organization. We developed a number of new algorithms: (1) A dynamic clustering algorithm for embedding tables, reducing the size of the internal recommendation systems by 50%. (2) A fast inference algorithm for Bayesian Neural Networks based on sketching..
Postdoctoral Researcher
Researcher at the Basic Algorithms Research Copenhagen (BARC), a leading center for fundamental algorithmic research, headed by Mikkel Thorup. I developed a number of new algorithms, publishing papers at the top algorithmic conferences, SODA and FOCS. Some selected results: (1) An optimal LSH data structure for set similarity search. (2) A very fast.
Phd Candidate
My research focuses on making machine learning efficient both theoretically and practically. The algorithms are often simple to use, even though the analysis may be mathematically complex. A secondary focus is making algorithms that are more robust, and on finding the limits of modern computing.
Co-Founder And Chief Machine Learning Officer
I lead a team developing our chatbot software and putting it into production at three of Denmark’s largest IT firms. (There are now many more.) We used a combination of traditional symbolic AI and modern (at the time) sentence embeddings. The chatbot was awarded the most prestigious prize by the Innovation Fund Denmark in 2019. I was also in charge of our.
Software Engineer
Sophion Bioscience is a leading biotech company that specializes in developing advanced solutions for ion channel research. During my time at Sophion Bioscience, I worked on developing internal debugging tools that were used to sift through gigabytes of data per second on ion channel screening machines.
Owner
Developed the most used chess client and engine for the Linux desktop. Currently the 7th most used interface on the Free Internet Chess Server. Translated to more than 25 languages. I lead a team of 4-8 developers and designers. In 2009 we won Les Trophées du Libre in Paris. The project is GPL2 and GPL3 and has been used by people all over the world for.
Software Engineer Intern
At Palantir Technologies, my primary responsibility was to port the Metropolis ontological time-series system (now known as Foundry) to the web, which involved a series of complex tasks that required innovative solutions and careful planning. Over the course of this project, I focused on designing data visualization tools, efficient processing pipelines.
Android And Php Developer
I developed robust scrapers for 100 TV station websites, extracting valuable information such as emails, PDFs, and Word documents. Utilizing this data, I designed and developed a user-centric TV-listing app for Android, catering to over 50,000 users. The app's design was based on in-depth UI research and user statistics, ensuring an intuitive and engaging.
Consultant
I enhanced a large jQuery application's flexibility and performance by optimizing and refactoring the codebase. Additionally, I developed modules for XML and PDF conversion, enabling seamless data transformation and improved workflow. My expertise in UI design and development contributed to the project's success by delivering a more user-friendly and.
Developer
Wine Doors was a project aimed at creating a package manager-like tool to facilitate the installation of Windows programs on Linux systems. As the first non-founder member of the project, my primary contributions involved developing user experience modules. Additionally, I focused on refining the codebase to align with Python standards, ensuring a clean.
Php Developer
At Daintel, a healthcare technology firm now acquired by Cambio Healthcare Systems, I worked on developing ICU and medical drug handling software. Using SQL & PHP, I created an optimized and reliable solution that enhanced patient care and supported healthcare professionals in their daily tasks.
Thomas Dybdahl Ahle education
Bachelor Of Arts (Ba), Computer Science
Doctor Of Philosophy (Ph.D.), Computer Science
Master Of Science (Ms), Computer Science
Uddannelse, Project Development
Stx, Physics, Mathematics
International Baccalaureate, English, Physics, Mathematics
Frequently asked questions about Thomas Dybdahl Ahle
Quick answers generated from the profile data available on this page.
What company does Thomas Dybdahl Ahle work for?
Thomas Dybdahl Ahle works for Normal Computing.
What is Thomas Dybdahl Ahle's role at Normal Computing?
Thomas Dybdahl Ahle is listed as Head of ML at Normal Computing.
What is Thomas Dybdahl Ahle's email address?
AeroLeads has found 1 work email signal at @fb.com for Thomas Dybdahl Ahle at Normal Computing.
Where is Thomas Dybdahl Ahle based?
Thomas Dybdahl Ahle is based in Copenhagen, Capital Region Of Denmark, Denmark while working with Normal Computing.
What companies has Thomas Dybdahl Ahle worked for?
Thomas Dybdahl Ahle has worked for Normal Computing, Meta, It-Universitetet I København, Supwiz, and Sophion Bioscience A/S.
How can I contact Thomas Dybdahl Ahle?
You can use AeroLeads to view verified contact signals for Thomas Dybdahl Ahle at Normal Computing, including work email, phone, and LinkedIn data when available.
What schools did Thomas Dybdahl Ahle attend?
Thomas Dybdahl Ahle holds Bachelor Of Arts (Ba), Computer Science from University Of Oxford.
What skills is Thomas Dybdahl Ahle known for?
Thomas Dybdahl Ahle is listed with skills including Php, Java, Python, Sql, Usability, Algorithms, Programming, and Open Source.
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