cv
Basics
| Name | Martina Occhetta |
| Label | PhD Student in AI for Drug Discovery |
| m.occhetta@qmul.ac.uk | |
| Website | https://martina-occhetta.github.io/ |
Education
-
2023.09 - 2027.09 PhD in AI for Drug Discovery
Exscientia & Digital Environment Research Institute, Queen Mary’s University of London
AI for Drug Discovery
- Target identification from multi-omics data using systems biology and machine-learning approaches.
-
2022.09 - 2023.09 MPhil Computational Biology
Wolfson College, University of Cambridge
Department of Applied Mathematics and Theoretical Physics
- MPhil Project: 'AlphaFold-based prediction of the propensity of proteins for phase separation'.
-
2019.09 - 2022.07 BSc Biochemistry
Imperial College London
Department of Life Sciences
- Final Year Project: 'Improving deep neural network-based classification of molecular dynamics trajectories of intrinsically disordered proteins through feature engineering'.
-
2017.09 - 2019.07 International Baccalaureate
International School of Milan
- Chemistry (HL, 7/7)
- Biology (HL, 7/7)
- Mathematics (HL, 6/7)
- Economics (HL, 7/7)
Work
-
2022.07 - 2022.09 Bioinformatics Intern @ Exscientia
Focused on using active learning to explore how to improve AlphaFold2 performance, with the final aim of ensuring full domain coverage by highly confident AlphaFold2 models.
-
2021.07 - 2021.09 Research Intern @ Ospedale San Raffaele
Studied samples from ovarian cancer patients using FISH and next-generation sequencing technologies.
Projects
- 2024.06 - Ongoing
PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction
A comprehensive evaluation framework designed for perturbation response prediction.
- 2023.05 - 2023.09
AlphaFold2-based prediction of the propensity of proteins for phase separation
Developed a computational approach to predict single protein liquid-liquid phase separation (LLPS) and co-condensation of protein pairs.
- 2022.03 - 2022.06
AE-based classification of c-Myc MD trajectories
Used molecular dynamics simulations to determine conformational changes in mutant c-Myc.
- 2021.02 - 2021.06
The SARS-CoV-2 Mpro as a target for peptidomimetic and small molecule inhibitors
Researched efforts to identify drugs targeting the main protease of SARS-CoV-2.
Skills
| Programming | |
| Python | |
| R | |
| MatLab | |
| Julia |
| Software | |
| AlphaFold2 | |
| Phyre2 | |
| PyMOL | |
| Autodock4 |
| Databases | |
| EMBL | |
| GenBank | |
| Ensembl | |
| TCGA | |
| PDB | |
| UniProt | |
| STRING | |
| DepMap |
| Miscellaneous | |
| Ubuntu Linux | |
| Virtual Machines | |
| LATEX | |
| Markdown |
Languages
| English | |
| Bilingual proficiency |
| Italian | |
| Native proficiency |
| Spanish | |
| Intermediate proficiency |
| Chinese | |
| Elementary proficiency |
Awards
- 2022
Beloff-Chain Prize
Imperial College London
- 2022
Convener’s Prize (Bioinformatics)
Imperial College London
- 2022
Dean's List
Imperial College London
- 2021
Biochemistry Second Year Prize
Imperial College London
- 2021
Dean's List
Imperial College London
- 2020
Dean's List
Imperial College London
Interests
| Volunteering | |
| Fondazione Francesca Rava | |
| In Farmacia per i Bambini |
| Tutoring | |
| GCSE and IB students | |
| Chemistry | |
| Biology | |
| Economics | |
| Mathematics |
| Travelling | |
| Visited 20+ countries |
| Reading | |
| Fiction | |
| Non-fiction | |
| Science | |
| Social sciences |
References
| Prof. Conrad Bessant | |
| You can contact Prof. Conrad Bessant, my PhD supervisor, for a reference. Please e-mail him at c.bessant@qmul.ac.uk |
| Prof. Michele Vendruscolo | |
| You can contact Prof. Michele Vendruscolo, my MPhil thesis supervisor, for a reference. Please e-mail him at mv245@cam.ac.uk |