“Ian is a highly talented Data Scientist with an outstanding grasp of data in the content, media and audience analytics domains. I was very happy to work with him on a few projects at the FT and found him to be intelligent, friendly, well organised and proactive in unearthing new and interesting stories in data. I highly recommend him to anyone seeking a skilled Data Scientist.”
About
McGill Ph.D. BBC's first ever data scientist. Extensive experience in machine learning…
Activity
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Firebird won 1st place in an Idea Pitch Competition a couple weeks ago -- see our official post below including a photo of Andreia Sodre Nichols with…
Firebird won 1st place in an Idea Pitch Competition a couple weeks ago -- see our official post below including a photo of Andreia Sodre Nichols with…
Liked by Ian Knopke
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Some personal news. This will be my last year leading our flagship Reuters Institute Digital News Report and we’re looking for a new lead author to…
Some personal news. This will be my last year leading our flagship Reuters Institute Digital News Report and we’re looking for a new lead author to…
Liked by Ian Knopke
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The professional academic journey is a learning, teaching, research and leading multi-objective optimisation challenge that could at same time reward…
The professional academic journey is a learning, teaching, research and leading multi-objective optimisation challenge that could at same time reward…
Liked by Ian Knopke
Experience
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Education
Licenses & Certifications
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Elasticsearch Essential Training
LinkedIn
IssuedCredential ID b53465a0101ec192f9cc2180d2d763a4836792bb7d4bc33eacfa30a7a0315fc6 -
Building NLP Pipelines with spaCy
LinkedIn Learn
IssuedCredential ID f8dfddbe3088ad37e3cd1cbf59cceac672af87c223f7f1a2350cd65983dfcfb0?u=102064650 -
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Publications
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Building an Authentic Listener: applying a passive exposure-based learning paradigm to detecting differences among compositional styles
Journal of Interdisciplinary Music Studies
Collaboration with Frauke Jurgensen, University of Aberdeen
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On providing semantic alignment and unified access to music-library metadata
International Journal on Digital Libraries
Collaboration with Oxford, Goldsmiths
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Extracting Temperaments from Historical Scores using Symbolic Means
MEDREN 2012
Collaboration with Frauke Jurgensen, University of Aberdeen.
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Statistically Investigating Tuning Systems in Symbolic Encodings of Fifteenth-Century Keyboard Music
Medieval Renaissance Music Conference
With Frauke Jurgensen
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Symbolic Music Data Mining
Musical Data Mining. CRC Press.
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The Importance of Services and Genres in Recommendations for Online Radio and Music Programmes
ACM Recommender Systems
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A tutorial on Pattern Discovery in Symbolic Music Information Retrieval
Proceedings of the International Conference on Music Information Retrieval
With Eric Nichols
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Identifying Common Melodic Phrases in the Masses of Palestrina
Journal of New Music Research, Vol. 38, No. 2, June 2009.
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Melodic and Harmonic Search Techniques for Large Symbolic Collections of Medieval Music
7th Triennial Conference of the European Society for the Cognitive Sciences of Music. Jyväskylä, Finland.
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Musical Attractors: A New Method for Audio Synthesis
Proceedings of the 31st Audio Engineering Society International Conference. London, England.
With Eric Nichols
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Towards MusicDiff: A Foundation for Improved Optical Music Recognition using Multiple Recognizers
Proceedings of the International Conference on Music Information Retrieval. Vienna, Austria.
With Don Byrd
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Building a search engine for music and audio on the World Wide Web
Ph.D. Dissertation. McGill University, Canada.
Projects
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Nikola Tesla and the End of the World (Online Web Series)
- Present
See projectI'm the assistant director of a web series, now available on Amazon Prime
Organizations
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Canadian Artificial Intelligence Association (CAIAC)
Member
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Recommendations received
2 people have recommended Ian
Join now to viewMore activity by Ian
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A few weeks ago I reached the official Dutch retirement age, marking the end of my official employment at Utrecht University. Slightly less…
A few weeks ago I reached the official Dutch retirement age, marking the end of my official employment at Utrecht University. Slightly less…
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Phenomenal day at the VOICE & AI Conference! Loved being the keynote speaker and diving into practical techniques and examples on navigating bias…
Phenomenal day at the VOICE & AI Conference! Loved being the keynote speaker and diving into practical techniques and examples on navigating bias…
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I’m thrilled to share the launch of the Issam Abdallah Visual Journalist Fellowship, named in honor of the late Reuters visual journalist Issam…
I’m thrilled to share the launch of the Issam Abdallah Visual Journalist Fellowship, named in honor of the late Reuters visual journalist Issam…
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I'm thrilled to announce the opening of our new Atelier 88 Architects studio in Shrewsbury! We can’t wait to connect with new collaborators and…
I'm thrilled to announce the opening of our new Atelier 88 Architects studio in Shrewsbury! We can’t wait to connect with new collaborators and…
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Excited to be at this year's IHAS & IHCON conferences. Excellent start to this years conference, and a fantastic presentation by Janine Benecke…
Excited to be at this year's IHAS & IHCON conferences. Excellent start to this years conference, and a fantastic presentation by Janine Benecke…
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This week's Women to Watch in Data is, McKinley Muir Hyden🚀 Read more about McKinley, here: https://lnkd.in/eVz9bUy3 Brought to you by Orbition…
This week's Women to Watch in Data is, McKinley Muir Hyden🚀 Read more about McKinley, here: https://lnkd.in/eVz9bUy3 Brought to you by Orbition…
Liked by Ian Knopke
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I’m happy to share that I just started my second mandate as Director at the Centre for Interdisciplinary Research in Music Media and Technology…
I’m happy to share that I just started my second mandate as Director at the Centre for Interdisciplinary Research in Music Media and Technology…
Liked by Ian Knopke
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The first step in any data project is to visualise the data. Graph it. Plot it. Understand what you’re dealing with. Leaping into machine learning…
The first step in any data project is to visualise the data. Graph it. Plot it. Understand what you’re dealing with. Leaping into machine learning…
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I spend so much time thinking about GDPR, compliance and the ethical implications of working with data that I was looking for a way of organising…
I spend so much time thinking about GDPR, compliance and the ethical implications of working with data that I was looking for a way of organising…
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