Roberto Chignola

Roberto Chignola,  July 9, 2014
Position
Associate Professor
Academic sector
ING-IND/34 - INDUSTRIAL BIOENGINEERING
Research sector (ERC)
LS2_14 - Biological systems analysis, modelling and simulation

LS2_11 - Computational biology

Office
Ca' Vignal 1,  Floor 2,  Room 2.05
Telephone
045 802 7953
E-mail
roberto|chignola*univr|it <== Replace | with . and * with @ to have the right email address.

Office Hours

Thursday, Hours 10:00 AM - 12:30 PM,  

Curriculum
  • pdf   CV (ENG)   (pdf, en, 152 KB, 27/02/24)
  • pdf   CV (ITA)   (pdf, it, 153 KB, 27/02/24)

Dr. Roberto Chignola is a researcher in the field of experimental and theoretical oncology. In particular, his interests concern the biological and biophysical properties of solid tumours that are related to tumour growth and response to therapies. The experimental work, that is carried out in his lab, proceeds in parallel with the development of mathematical models describing the behaviour of molecules, cells and organisms. Emphasis is therefore given to the quantitative approach to biological and biomedical problems. Indeed, he has a long standing experience in the translation of model equations into lab experiments and vice versa. His skills in statistics, as well as in human cell culture (traditional cultures, spheroids, differentiated cells, etc.), are shared with colleagues from different scientific fields. He has some interests in geology, and in particular he studies paleokarst caves in collaboration with expert geologists.

Modules

Modules running in the period selected: 40.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Bachelor's degree in Applied Mathematics Mathematical and Statistical Methods in Biology (2023/2024)   6  eLearning
Bachelor's degree in Biotechnology Mathematics and statistics (2023/2024)   12  eLearning 12 
Master's degree in Biotechnology for bioresources and sustainable development Quantitative methods for biotechnology (2023/2024)   6  eLearning
Bachelor's degree in Applied Mathematics Mathematical and Statistical Methods in Biology (2022/2023)   6  eLearning
Bachelor's degree in Biotechnology Mathematics and statistics (2022/2023)   12  eLearning (Statistica)
(Matematica Mod. 2)
Master's degree in Biotechnology for bioresources and sustainable development Quantitative methods for biotechnology (2022/2023)   6  eLearning
Bachelor's degree in Applied Mathematics Mathematical and Statistical Methods in Biology (2021/2022)   6  eLearning
Bachelor's degree in Biotechnology Mathematics and statistics (2021/2022)   12  eLearning (Statistica)
(Matematica Mod. 2)
Master's degree in Biotechnology for bioresources and sustainable development Quantitative methods for biotechnology (2021/2022)   6  eLearning
Bachelor's degree in Applied Mathematics Mathematical and Statistical Methods in Biology (2020/2021)   6  eLearning
Bachelor's degree in Biotechnology Mathematics and statistics (2020/2021)   12  eLearning (Statistica)
(Matematica Mod. 2)
Master's degree in Biotechnology for bioresources and sustainable development Quantitative methods for biotechnology (2020/2021)   6  eLearning
Bachelor's degree in Applied Mathematics Mathematical and Statistical Methods in Biology (2019/2020)   6  eLearning
Bachelor's degree in Biotechnology Mathematics and statistics (2019/2020)   12  eLearning (Statistica)
Master's degree in Biotechnology for bioresources and sustainable development Quantitative methods for biotechnology (2019/2020)   6  eLearning
Bachelor's degree in Applied Mathematics Mathematical and Statistical Methods in Biology (2018/2019)   6  eLearning (Parte 2)
Bachelor's degree in Biotechnology Mathematics and statistics (2018/2019)   12  eLearning (statistica)
Bachelor's degree in Biotechnology Mathematics and statistics (2017/2018)   12  eLearning (Statistica)
Bachelor's degree in Applied Mathematics Mathematical models in biology (2016/2017)   6   
Bachelor's degree in Biotechnology Mathematics and statistics (2016/2017)   12  eLearning (Statistica)
Bachelor's degree in Biotechnology Mathematics and statistics (2015/2016)   12    (Statistica)
Bachelor's degree in Biotechnology Introduction to Pathology and Immunology (2012/2013)   6   
Bachelor in Agroindustrial Biotechnology (until 2008-2009 academic year) Cellular Culture Techniques (2009/2010)   6    MOD. CELLULE ANIMALI (TEORIA)
Bachelor in Agroindustrial Biotechnology (until 2008-2009 academic year) Immunology (2009/2010)   4   
Masters in Molecular and Industrial Biotechniques Pathology and oncology (2009/2010)   2   
Bachelor in Agroindustrial Biotechnology (until 2008-2009 academic year) Cellular Culture Techniques (2008/2009)   6    Mod. cellule animali (teoria)
Bachelor in Agroindustrial Biotechnology (until 2008-2009 academic year) Immunology (2008/2009)   4   
Masters in Molecular and Industrial Biotechniques Pathology and oncology (2008/2009)   2   
Bachelor in Agroindustrial Biotechnology (until 2008-2009 academic year) Cellular Culture Techniques (2007/2008)   6    Mod. cellule animali (teoria)
Bachelor in Agroindustrial Biotechnology (until 2008-2009 academic year) Immunology (2007/2008)   4   
Masters in Molecular and Industrial Biotechniques Pathology and oncology (2007/2008)   2   
Bachelor in Agroindustrial Biotechnology (until 2008-2009 academic year) Cellular Culture Techniques (2004/2005)   6      modulo animale
Bachelor in Agroindustrial Biotechnology (until 2008-2009 academic year) Immunology (2004/2005)   4     
Bachelor in Agroindustrial Biotechnology (old system) Immunology (2003/2004)   60     
Bachelor in Agroindustrial Biotechnology (until 2008-2009 academic year) Immunology (2003/2004)   4     
Bachelor in Agroindustrial Biotechnology (until 2008-2009 academic year) Immunology (2002/2003)   5     
Bachelor in Agroindustrial Biotechnology (old system) Immunology (2002/2003)   0     

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Research interests
Topic Description Research area
Modellizzazione e simulazione di sistemi biologici complessi L'obiettivo principale è lo studio delle proprietà biologiche emergenti dei tumori solidi quando essi siano ancora in una fase precoce di crescita. Le metodologie fisico/matematiche/ingegneristiche sviluppate possono essere applicate ad altri aspetti biologici e biomedici, anche se non di diretta pertinenza dell'oncologia. In ogni caso l'attività teorica procede in parallelo con quella sperimentale. Quest'ultima utilizza prevalentemente sistemi cellulari in vitro. Le metodologie, in particolare, concernono: - analisi mono- e multi-variata di dati biologici; - sviluppo di modelli matematici di specifici processi di interesse biologico a livello di scala molecolare e cellulare; - sviluppo di modelli multi-scala e simulazione numerica; - sviluppo di strategie sperimentali per la validazione degli output dei modelli Bioinformatica e Biologia Computazionale
Simulation engineering and modelling
Projects
Title Starting date
Slowing down the aggressiveness of solid tumors 3/1/17
Simulazione numerica di Sferoidi Tumorali Multicellulari: validazione sperimentale, stima di parametri e modellizzazione di specifici circuiti biochimici 10/17/11
Messa punto di nuove strategie per lo sviluppo di vaccini per il trattamento dell’allergia al frumento 6/1/11
Nuove tecnologie per il made in Italy 8/1/10
Virtual Biophysics Lab (VBL-RAD) 1/1/09
Simulazione numerica di popolazioni di cellule tumorali: verifica sperimentale, stima dei parametri e analisi critica delle previsioni 7/29/08
Realizzazione e validazione sperimentale di un modello numerico di crescita di sferoidi tumorali 10/30/05
Crescita di sferoidi tumorali: simulazione numerica e validazione sperimentale del modello 10/1/05
Interrelazione tra sistema immunitario e microambiente tissutale in un modello tumorale 5/1/04
Studio della crescita di aggregati di cellule tumorali 4/1/04
Individuazione di nuovi fattori di rischio nel diabete giovanile insulino dipendente, nella celiachia e nei soggetti con doppio difetto. 9/29/99





Roberto Chignola
Office Collegial Body
researcher Teachers' Committee in the Master in Applied Biotechnology
member Biotechnology Teaching Committee - Department Biotechnology
member Collegio didattico di Matematica e Data Science - Department Computer Science
Commissione Didattica - Department Biotechnology
associate prof. Biotechnology Departmental Council - Department Biotechnology
member Scientific and Technological Department Board

Organisation

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