ICTP-ICTS Winter School on Quantitative Systems Biology

Administration

Description

An ICTP Hybrid Meeting. You can submit your application for participation in presence or online.

Machine Learning is increasingly being used in biology, as also in other physical and life sciences, to build predictive models of underlying processes.

This school will combine the knowledge of biologists who work with large and heterogeneous data, of physicists who are experts at modelling such complexity, and of machine learning experts who bring in state-of-the-art methods in statistics. This integrated approach is essential to learn how to tackle these issues and gain a better understanding of key phenomena in biology.

Lecturers:
G. CARAVAGNA, University of Trieste, Italy
P. CHAUDHARI, University of Pennsylvania, USA
S. MUKHERJEE, MPG Leipzig, Germany
E. PIASINI, SISSA, Italy
R. POTESTIO, University of Trento, Italy
G. SCHWEIKERT, University of Dundee, UK
G. TKACIK, IST, Austria
C. TOMASETTI, City of Hope, Los Angeles, USA
C. VALLEJOS, University of Edinburgh, UK

Scientific Advisory Committee:

V. BALASUBRAMANIAN, University of Pennsylvania, USA
A. CELANI, ICTP, Italy
S. JAIN, University of Delhi, India

V.K. KRISHNAMURTHY, ICTS, Bangalore, India
M. MARSILI, ICTP, Italy

M. THATTAI, National Centre for Biological Sciences, India

Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.

Material

Abstract Templates Final list of Participants Group Photo How to choose Time Zones Poster Spotlight Talks

ICTP-ICTS Winter School on Quantitative Systems Biology | (smr 3755)

Go to day

Monday, 5 December 2022

08:30 - 10:00

08:30 Registration formalities 1h30'

REGISTRATION: Upon arrival, Visitors not staying in the ICTP Guest Houses, are kindly requested to complete registration formalities at the Adriatico Guesthouse, Registration Desk (Lower level) from 8.30 till 10.00.

10:15 - 12:00

10:15 Welcome Remarks 5'

Speaker: Antonio CELANI (ICTP, Italy)
10:20 Introduction 10'

Speaker: Guido SANGUINETTI (SISSA, Italy)

10:30 An introduction to epigenomics 1h0'

Speaker:	Gabriele Beate SCHWEIKERT (University of Tuebingen, Germany)
Material:	Video

12:00 - 14:00
- 12:00 Lunch Break 2h0'

14:00 - 16:00

14:00 Bayesian models of perception - Part I 1h30'

Speaker:	Eugenio PIASINI (SISSA, Italy)
Material:	Video

15:30 Coffee Break 30'

18:00 - 19:30
- 18:00 Welcome Reception 1h30' ( Adriatico Guest House Cafeteria )
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All participants are cordially invited to the Welcome Reception
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Tuesday, 6 December 2022

10:30 - 12:00

Location:

Adriatico Guest House - Giambiagi Lecture Hall

10:30 Machine learning for epigenomic data analysis and individual-specific imputation 1h30'

Speaker:	Gabriele Beate SCHWEIKERT (University of Tuebingen, Germany)
Material:	Video

12:00 - 14:00
- 12:00 Lunch Break 2h0'

14:00 - 16:00

14:00 Spotlight Talks 1h30'

Presenters: ARYA Ajay, BAGAL Satish Ojus, BATRA Abhilasha, CHHAJER Harsh, EL KAZWINI Nour, FRANCO ONATE Maria Jose, MARTINEZ ESTRADA Moises, MELE Margherita, MUKHERJEE Nivedita, NAHALI Negar, PANDIT Gurudatt Parth Gurudatt, RAJARAM Sri Gouri, UDREA Maria Ana, ZHANG Alex Chen Yi

15:30 Coffee Break 30'

Wednesday, 7 December 2022

14:00 - 17:30

14:00 Bayesian models of perception - Part II 1h30'

Speaker:	Eugenio PIASINI (SISSA, Italy)
Material:	Video

15:30 Coffee Break 30'

16:00 Spotlight Talks 1h30'

Presenters: ABDELAAL Samy Ali, ADIAHA Monday Sunday, ALI Rafat, ALI Syeda Hafiza Benish, CHOWDHURY Shreya, DADI Zohreh, DAS Nilanjan, ETESAMI Zahra, FOTSO Simo Carine, GANGOPADHYAY Sohini, HARI Anantha Samrajya Shri Anantha Samrajya Shri Kishore, JOSHI Himanshu, KALSOOM Dr. Saima, KUNDU Bidisha, RINALDI Guido Francesco

Thursday, 8 December 2022

10:30 - 12:00

Location:

Adriatico Guest House - Giambiagi Lecture Hall

10:30 Bayesian models of perception - Part III 1h30'

Speaker:	Eugenio PIASINI (SISSA, Italy)
Material:	Link Video

12:00 - 14:00
- 12:00 Lunch Break 2h0'

14:00 - 17:30

14:00 Computational modelling of cancer sequencing data - Part I 1h30'

Speaker:	Giulio CARAVAGNA (University of Trieste)
Material:	Abstract Video

15:30 Coffee Break 30'

16:00 Spotlight Talks 1h30'

Presenters: BIONDO Marta, MALA Adarsh, NASRIN Tasneem, NATH Kumar Sujit Kumar, NAVEED Sawera, P S Aiswarya, PIZZINI Letizia, SATYAJITH Aashish, SUBBAROYAN Ajay, TIOMELA TANEFO Tiomela Sedrique Arnaud, VALLE Filippo, VARGHESE Mary Dana, VARMA Aalok, ZANG Orlane

Friday, 9 December 2022

10:30 - 12:00

Location:

Adriatico Guest House - Giambiagi Lecture Hall

10:30 The bigger picture: epigenomics and personalised medicine, opportunities, risks and concerns 1h30'

Speaker:	Gabriele Beate SCHWEIKERT (University of Tuebingen, Germany)
Material:	Video

12:00 - 14:00
- 12:00 Lunch Break 2h0'
14:00 - 16:00
- 14:00 Poster Session 1h30'
- 15:30 Coffee Break 30'

Monday, 12 December 2022

10:30 - 12:05

10:30 Maximum entropy models and optimality theories - Part I 1h30'

Speaker:	Gasper TKACIK (Institute of Science and Technology, Austria)
Material:	Video

12:00 Group Photo 5'

12:05 - 14:00
- 12:05 Lunch Break 1h55'

14:00 - 17:30

14:00 Principles of Deep Learning - Part I 1h30'

Speaker:	Pratik Anil CHAUDARI (University of Pennsylvania, USA)
Material:	Abstract Notes Video

15:30 Coffee Break 30'
16:00 Statistical challenges in the analysis of single cell sequencing data: from cells to people 1h30'

Speaker: Catalina Andrea VALLEJOS MENESES (University of Edinburgh, UK)

18:00 - 19:30
- 18:00 Welcome Reception 1h30' ( Adriatico Guest House Cafeteria )
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All participants are cordially invited to the Welcome Reception
```

Tuesday, 13 December 2022

10:30 - 12:00

Location:

Adriatico Guest House - Giambiagi Lecture Hall

10:30 Maximum entropy models and optimality theories - Part II 1h30'

Speaker:	Gasper TKACIK (Institute of Science and Technology, Austria)
Material:	Video

12:00 - 14:00
- 12:00 Lunch Break 2h0'

14:00 - 17:30

14:00 Principles of Deep Learning - Part II 1h30'

Speaker:	Pratik Anil CHAUDARI (University of Pennsylvania, USA)
Material:	Video

15:30 Coffee Break 30'

16:00 Cancer Etiology, Machine Learning and Mutational Signatures 1h30'

Speaker:	Cristian TOMASETTI (City of Hope, USA)
Material:	Video

Wednesday, 14 December 2022

10:30 - 12:00

Location:

Adriatico Guest House - Giambiagi Lecture Hall

10:30 Maximum entropy models and optimality theories - Part III 1h30'

Speaker:	Gasper TKACIK (Institute of Science and Technology, Austria)
Material:	Video

12:00 - 14:00
- 12:00 Lunch Break 2h0'

14:00 - 17:30

14:00 Principles of Deep Learning - Part III 1h30'

Speaker:	Pratik Anil CHAUDARI (University of Pennsylvania, USA)
Material:	Video

15:30 Coffee Break 30'

16:00 Mathematical Modeling of Cancer Evolution 1h30'

Speaker:	Cristian TOMASETTI (City of Hope, USA)
Material:	Video

Thursday, 15 December 2022

10:30 - 12:00

Location:

Adriatico Guest House - Giambiagi Lecture Hall

10:30 Computational modelling of cancer sequencing data - Part II 1h30'

Speaker:	Giulio CARAVAGNA (University of Trieste)
Material:	Video

12:00 - 14:00
- 12:00 Lunch Break 2h0'

14:00 - 17:30

14:00 Liquid Biopsies and Machine Learning for the Early Detection of Cancer 1h30'

Speaker:	Cristian TOMASETTI (City of Hope, USA)
Material:	Video

15:30 Coffee Break 30'
16:00 Poster session 1h30'

Friday, 16 December 2022

10:30 - 12:00

Location:

Adriatico Guest House - Giambiagi Lecture Hall

10:30 Multiscale modelling meets machine learning: leveraging deep learning and friends to investigate soft and biological matter systems 1h30'

Speaker:	Raffaello POTESTIO (University of Trento)
Material:	Abstract Video

12:00 - 14:00
- 12:00 Lunch Break 2h0'

14:00 - 16:00

14:00 Computational modelling of cancer sequencing data - Part III 1h30'

Speaker:	Giulio CARAVAGNA (University of Trieste)
Material:	Video

15:30 Coffee Break 30'