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2024-04-29 13:00:00
2024-04-29 14:00:00
America/New_York
ML-enabled Genetic Analysis of High-Content Phenotypes
Abstract: In my talk, I will discuss new machine learning (ML) approaches for human genetics. First, I will present ML-enhanced genetic analysis of histological traits, where we leverage a novel semantic autoencoder to compress histological images into trait embeddings for GWAS. In an application to multiple tissues from the GTEx dataset, we discover 4 genome-wide significant loci associated with histological changes, which we can visualise and interpret for each of the discovered variants thanks to our decoder.Second, I will introduce a new method combining machine learning and genetic causal inference for risk predictions. A key advantage of this method is that it doesn't require longitudinal data. This allows for risk prediction of late-onset diseases in large biobanks, where follow-up cases are often limited.Overall, these contributions demonstrate the transformative power of ML in human genetics. Our approaches enable more nuanced analyses of high-dimensional traits and facilitate biomarker discovery.Bio: Francesco Paolo Casale studied physics at the University of Naples Federico II, Italy. He received his PhD in statistical genetics at the University of Cambridge and the European Bioinformatics Institute in 2016, where he developed new computational methods for genetic association studies and contributed to landmark international projects such as the last phase of the 1000 Genomes Project and the Blueprint initiative. He conducted his postdoctoral studies at the Microsoft Research New England lab in Boston, working on deep generative models for imaging genetics and automated machine learning. In 2019, he joined insitro, a drug discovery and development company located in the bay area. There, he led the statistical genetics team, working at the intersection of human genetics, machine learning and functional genomics to enable target identification and characterization. Since January 2022, he is a Principal Investigator in Machine Learning in Biomedicine at the Helmholtz Munich Institute of AI for Health.
D507
Events
April 29, 2024
May 01, 2024
SQL and Large Language Models: A Marriage Made in Heaven?
Paolo Papotti
EURECOM
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2024-05-01 13:00:00
2024-05-01 14:00:00
America/New_York
SQL and Large Language Models: A Marriage Made in Heaven?
Title:SQL and Large Language Models: A Marriage Made in Heaven?Abstract:With the rise of pre-trained Large Language Models (LLMs), there is now an effective solution to store and use information extracted from massive corpora of documents. However, for data-intensive tasks over structured data, relational DBs and SQL queries are at the core of countless applications. While these two technologies may appear distant, in this talk we will see that they can interact effectively and with promising results. LLMs can help users express SQL queries (Semantic Parsing), but SQL queries can be used to evaluate LLMs (Benchmarking). Their combination can be further advanced, with opportunities to query with a unified SQL interface both LLMs and DBs. We present recent results on these topics and then conclude with an overview of the research challenges in effectively leveraging the combined power of SQL and LLMs.Bio:Paolo Papotti is an Associate Professor at EURECOM, France since 2017. He got his PhD from Roma Tre University (Italy) in 2007 and had research positions at the Qatar Computing Research Institute (Qatar) and Arizona State University (USA). His research is focused on data management and, more recently, on NLP. He has authored more than 150 publications and his work has been recognized with two “Best of the Conference” citations (SIGMOD 2009, VLDB 2016), three best demo award (SIGMOD 2015, DBA 2020, SIGMOD 2022), and two Google Faculty Research Award (2016, 2020). Tianyu Li is inviting you to a scheduled Zoom meeting.Join Zoom Meetinghttps://mit.zoom.us/j/92228238583?pwd=b2p1S0F3UGxBUHpnVnBCSEQxYW0zZz09Password: 933644One tap mobile+16465588656,,92228238583# US (New York)+16699006833,,92228238583# US (San Jose)Meeting ID: 922 2823 8583US : +1 646 558 8656 or +1 669 900 6833International Numbers: https://mit.zoom.us/u/aeDyFqdmCvJoin by SIP92228238583@zoomcrc.comJoin by Skype for Businesshttps://mit.zoom.us/skype/92228238583
32-G575
June 07, 2024
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2024-06-07 9:00:00
2024-06-07 18:00:00
America/New_York
CSAIL + Imagination in Action Symposium 2024
The symposium will showcase the extraordinary and substantive contributions CSAIL research groups have made, and highlight the remarkable impacts of our work.
Kirsch Auditorium
December 01, 2024
Cancelled
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