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Jake Lever Profile
Jake Lever

@jakelever0

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Lecturer at @GlasgowCS using machine learning to gather biomedical knowledge

Glasgow, Scotland
Joined January 2016
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@jakelever0
Jake Lever
4 months
Had fun talking about biomedical information extraction with @JavierSanzCruza today. Check out the materials from our #ISMBECCB2025 virtual tutorial. It's a mini intro course on #BioNLP!
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ai4biomed.org
A hands-on tutorial on biomedical NLP for information extraction.
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@_xizhang
Xi Zhang
5 days
๐Ÿ“ข Poster #216 at #EMNLP2025! @XinhaoYi presents Can We Edit LLMs for Long-Tail Biomedical Knowledge? ๐Ÿงฌ๐Ÿ’ก w/ @jakelever0, Kevin Bryson & @mengzaiqiao โ€” come say hi! ๐Ÿ•ง 12:30โ€“13:30 | ๐Ÿ“Hall C
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@_xizhang
Xi Zhang
3 months
๐Ÿ“ข Kicking off the day at the BioNLP Workshop with the opening talk! ๐Ÿงฌ Accelerating Cross-Encoders in Biomedical Entity Linking With: @JavierSanzCruza & @jakelever0 ๐Ÿ“ Room 2.15 ๐Ÿ•— 08:50โ€“09:10 Drop by if youโ€™re around โ€” would love to chat! #BioNLP #ACL2025NLP #EntityLinking
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@_xizhang
Xi Zhang
4 months
Heading to #ACL2025 this weekend โ€” Vienna, here we come! ๐Ÿ‡ฆ๐Ÿ‡น Excited to share that the AI4BioMed Lab (led by @mengzaiqiao & @jakelever0) has three papers accepted this year! ๐ŸŽ‰ Come chat with us at the conference ๐Ÿ‘‹ w/ @JinyuanF, @_xizhang, and @JavierSanzCruza ๐Ÿ’ฌ ๐Ÿ“ฎ Also, I'll
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@_xizhang
Xi Zhang
5 months
๐ŸŽ‰ Excited to share that the Glasgow AI4BioMed Lab ( https://t.co/7TxG0CR8e5) is presenting at #HealTAC2025 this Thursday! ๐Ÿ“ Join us at the PhD Forum in the Debates Chamber at Glasgow Uni! ๐Ÿ’ฌ w/ @XinhaoYi, @Zhaohan_Meng, @_xizhang, Hana Elsherbeny ๐Ÿ™Œ Advised by @mengzaiqiao &
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@JinyuanF
Jinyuan Fang
6 months
๐ŸŽ‰ Glad to share that our paper "KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation" (w/ @mengzaiqiao and @craig_macdonald) has been accepted at #ACL2025 as a main conference paper!
@mengzaiqiao
Zaiqiao Meng
9 months
Just uploaded our paper KiRAG to Arxiv! ๐Ÿš€ KiRAG integrates reasoning into retrieval, dynamically identifying and retrieving knowledge to bridge information gaps. We leverage KGs to enhance the retrieval process of iRAG. ๐Ÿ“„: https://t.co/u8UjNHjFjM ๐Ÿ’ป: https://t.co/5OEVrQWhZ1
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@_xizhang
Xi Zhang
6 months
๐ŸŽ‰ Excited to share that our paper "Libra: Leveraging Temporal Images for Biomedical Radiology Analysis" (w/@mengzaiqiao, @jakelever0 & @EdmondSLHo) is accepted at #ACL2025! ๐Ÿง  TL;DR: We present Libra, a temporally-aware MLLM โ€” inspired by "structure determines function" โ€” to
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@JavierSanzCruza
Javier Sanz-Cruzado
6 months
Very happy to announce that our paper "Accelerating Cross-Encoders in Biomedical Entity Linking" with @jakelever0 has been accepted to the #BioNLP2025 workshop!
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@jakelever0
Jake Lever
1 year
Last couple days to apply for our Research Assistant/Associate role working on NLP for cancer mutations. Come work with us @GlasgowCS!
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@glasgowcompbio
Glasgow Computational Biology Community
1 year
Places are filling fast, so don't forget to sign up to do a fun project with us at our first Hackathon! Spatial, LLMs, or workflow development. We have it all. Sign up now.
@glasgowcompbio
Glasgow Computational Biology Community
1 year
Excited to announce the first ever compbio community hackathon. Biology meets Big Data. Sign up now to solve some exciting problems. More information can be found on our website
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@jakelever0
Jake Lever
1 year
Come work with us at @GlasgowCS to use natural language processing to find cancer knowledge for the @CIViCdb database! Research assistant/associate job is now open. Details at the link or drop me an email with any questions: https://t.co/Wv9GMfCsPz #bionlp
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@keyuan1
Ke Yuan
2 years
New preprint from @LucasFarndale. TriDeNT for knowledge distillation in digital pathology. Whopping 101% improvement from SOTA baseline. @GlasgowCS, @UofGCancerSci, @CRUK_SI Checkout this thread:
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@UofGlasgow
University of Glasgow
2 years
Are you interested in doing a PhD in computer scienceย  at the University of Glasgow? ๐Ÿ’ป Learn more about the funding opportunities, available topics, and join our info session on 29 Nov at 10am (UK time). More โžก๏ธ https://t.co/26hb0Urj1J @GlasgowCS
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@mengzaiqiao
Zaiqiao Meng
2 years
Working on Knowledge Graphs + NLP + IR + RecSys? ๐Ÿ‘‰ Submit your work to @keirworkshop The First Workshop on Knowledge-Enhanced Information Retrieval at ECIR 2024. #keir2024 Submission deadline: Jan 12, 2024 (AoE) ๐Ÿ‘‰ https://t.co/7srIfm9p88 More info on the below website! ๐Ÿ‘‡
keirworkshop.github.io
KEIR@ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval
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@GlasgowCS
UofG Computing Science
2 years
interested in doing #compsci postgraduate research? Come to our online event Wednesday 29 November 10:00 UTC, see https://t.co/jRwjC4CuM7
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findaphd.com
PhD Programme - School of Computing Science at University of Glasgow, listed on FindAPhD.com
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@JackMcK1999
Jack McKechnie
2 years
At 15:00 on 20th November, Jake Lever @jakelever0 will be giving an #IRTalk entitled "Resolving contradictions in biomedical information extraction". Details can be found at: https://t.co/gmqEl2NOfB @GlasgowCS @ir_glasgow
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@JinyuanF
Jinyuan Fang
2 years
In case you missed it, we presented our work KGPR: Knowledge Graph Enhanced Passage Ranking at the #CIKM 2023 conference. check our paper at: https://t.co/snAaqKpDe0โ€ฆโ€ฆ code is available at: https://t.co/NVbAEsM1Gy
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@Vinny_Davies89
Vinny Davies
2 years
Interested in a PhD combining Statistics with Generative AI? Then come and do a PhD with Andrew Elliott, @sharpgao, and I at @UofGMaths_Stats. Competitive funding and information below:
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findaphd.com
PhD Project - PhD in Statistics - Generating Deep Fake Left Ventricles: A Step Towards Personalised Heart Treatments at University of Glasgow, listed on FindAPhD.com
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@GlasgowCS
UofG Computing Science
2 years
Dive into 'Generative Pre-trained Transformer (GPT)' & NLP! ๐Ÿš€ @GlasgowCS from @UofGlasgow launches a MOOC. Explore on @Coursera: https://t.co/xHUsscjnPs #DeepLearning
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coursera.org
Offered by University of Glasgow . Large language models ... Enroll for free.
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@digital_rsc
Digital Discovery
2 years
Read this new infographic to find out about the work by Florence et al. at @EPSRC_CMAC and the #CMACFutureManufacturingResearchHub in predicting pharmaceutical powder flow with machine learning! Then read the full paper for more: https://t.co/52RSidc0z5 #openaccess
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