Student Research Showcase
Student Research Showcase
10:30 PM - 11:00 PM
Student Research
Presentations
Lecture Theatre
11:00 PM - 12:00 AM
QA + Poster Session
Seminar Room
10:30 PM - 11:00 PM
Student Research Presentations
Lecture Theatre
11:00 PM - 12:00 AM
QA + Poster Session
Seminar Room
2
I’m a PhD student at the University of Oxford, focusing on planning and reasoning in large language models. I have multiple first-author publications on these topics at top venues, including ICML 2024 main conference, ICLR 2025 workshop, and LREC-COLING. Industry-wise, I’ve interned as a researcher at Microsoft Research and as a software engineer at Microsoft Azure Storage. I'm very familiar with state-of-the-art LLMs, their training and evaluation pipelines, and foundational/classic NLP methods.
DPhil Linguistics
Fangru Lin
3
Federico is a final year DPhil student supervised by Professor Michael Bronstein working on reasoning capabilities of Large Language Models. He has interned twice at Google DeepMind in LLM reasoning and safety teams, contributing also to Gemini and discovery projects. He has also interned at Microsoft Research in the AI4Science research unit in Amsterdam working on protein folding. He will be joining in December Google DeepMind full-time as a Research Scientist.
DPhil Computer Science
Federico Barbero
4
I am a DPhil student developing AI-driven solutions for cardiovascular risk prediction, with a particular emphasis on sudden cardiac death and subclinical atherosclerosis. My academic record includes publications in high-impact medical journals such as Nature Genetics, The Lancet, JACC, JAMA and Science (accepted). Additionally, I am the Graduate Director of Innovation and Entrepreneurship at Reuben College, organising a wide range of events to generate opportunities for student entrepreneurs during their time at Oxford (e.g. private networking of student AI entrepreneurs and 20 UAE financial leaders). Finally, I am starting a business myself on enabling cardiovascular disease prevention using AI.
DPhil in Women's and Reproductive Health
Ben Omega Petrazzini
5
I am a graduate student pursuing an MSt in Practical Ethics at Oxford, where I also completed an MSc in Computer Science and Philosophy. My work sits at the intersection of moral philosophy and computer science, aiming to bridge the gap between ethical theory and technological implementation.Currently I research the ethics of Human-Computer Interaction, particularly the Human-AI relationship. Alongside my studies, I work as a L4 Software Engineer at Google. My past research includes work on examining threats to user autonomy from anthropomorphic AI, critiquing data scraping in AI training, and measuring cultural erasure in generative models.
Mst Practical Ethics
Beatrice Marchegiani
2
Fangru Lin
I’m a PhD student at the University of Oxford, focusing on planning and reasoning in large language models. I have multiple first-author publications on these topics at top venues, including ICML 2024 main conference, ICLR 2025 workshop, and LREC-COLING. Industry-wise, I’ve interned as a researcher at Microsoft Research and as a software engineer at Microsoft Azure Storage. I'm very familiar with state-of-the-art LLMs, their training and evaluation pipelines, and foundational/classic NLP methods.
DPhil Linguistics
3
Federico Barbero
Federico is a final year DPhil student supervised by Professor Michael Bronstein working on reasoning capabilities of Large Language Models. He has interned twice at Google DeepMind in LLM reasoning and safety teams, contributing also to Gemini and discovery projects. He has also interned at Microsoft Research in the AI4Science research unit in Amsterdam working on protein folding. He will be joining in December Google DeepMind full-time as a Research Scientist.
DPhil Computer Science
4
Ben Omega Petrazzini
I am a DPhil student developing AI-driven solutions for cardiovascular risk prediction, with a particular emphasis on sudden cardiac death and subclinical atherosclerosis. My academic record includes publications in high-impact medical journals such as Nature Genetics, The Lancet, JACC, JAMA and Science (accepted). Additionally, I am the Graduate Director of Innovation and Entrepreneurship at Reuben College, organising a wide range of events to generate opportunities for student entrepreneurs during their time at Oxford (e.g. private networking of student AI entrepreneurs and 20 UAE financial leaders). Finally, I am starting a business myself on enabling cardiovascular disease prevention using AI.
DPhil in Women's and Reproductive Health
5
Beatrice Marchegiani
I am a graduate student pursuing an MSt in Practical Ethics at Oxford, where I also completed an MSc in Computer Science and Philosophy. My work sits at the intersection of moral philosophy and computer science, aiming to bridge the gap between ethical theory and technological implementation.Currently I research the ethics of Human-Computer Interaction, particularly the Human-AI relationship. Alongside my studies, I work as a L4 Software Engineer at Google. My past research includes work on examining threats to user autonomy from anthropomorphic AI, critiquing data scraping in AI training, and measuring cultural erasure in generative models.
Mst Practical Ethics
2
Fangru Lin
I’m a PhD student at the University of Oxford, focusing on planning and reasoning in large language models. I have multiple first-author publications on these topics at top venues, including ICML 2024 main conference, ICLR 2025 workshop, and LREC-COLING. Industry-wise, I’ve interned as a researcher at Microsoft Research and as a software engineer at Microsoft Azure Storage. I'm very familiar with state-of-the-art LLMs, their training and evaluation pipelines, and foundational/classic NLP methods.
DPhil Linguistics
3
Federico Barbero
Federico is a final year DPhil student supervised by Professor Michael Bronstein working on reasoning capabilities of Large Language Models. He has interned twice at Google DeepMind in LLM reasoning and safety teams, contributing also to Gemini and discovery projects. He has also interned at Microsoft Research in the AI4Science research unit in Amsterdam working on protein folding. He will be joining in December Google DeepMind full-time as a Research Scientist.
DPhil Computer Science
4
Ben Omega Petrazzini
I am a DPhil student developing AI-driven solutions for cardiovascular risk prediction, with a particular emphasis on sudden cardiac death and subclinical atherosclerosis. My academic record includes publications in high-impact medical journals such as Nature Genetics, The Lancet, JACC, JAMA and Science (accepted). Additionally, I am the Graduate Director of Innovation and Entrepreneurship at Reuben College, organising a wide range of events to generate opportunities for student entrepreneurs during their time at Oxford (e.g. private networking of student AI entrepreneurs and 20 UAE financial leaders). Finally, I am starting a business myself on enabling cardiovascular disease prevention using AI.
DPhil in Women's and Reproductive Health
5
Beatrice Marchegiani
I am a graduate student pursuing an MSt in Practical Ethics at Oxford, where I also completed an MSc in Computer Science and Philosophy. My work sits at the intersection of moral philosophy and computer science, aiming to bridge the gap between ethical theory and technological implementation.Currently I research the ethics of Human-Computer Interaction, particularly the Human-AI relationship. Alongside my studies, I work as a L4 Software Engineer at Google. My past research includes work on examining threats to user autonomy from anthropomorphic AI, critiquing data scraping in AI training, and measuring cultural erasure in generative models.
Mst Practical Ethics
Copyright © 2025 Oxford AI Gala
Copyright © 2025 Oxford AI Gala
Copyright © 2025 Oxford AI Gala
Copyright © 2025 Oxford AI Gala
Student Showcase
2
I’m a PhD student at the University of Oxford, focusing on planning and reasoning in large language models. I have multiple first-author publications on these topics at top venues, including ICML 2024 main conference, ICLR 2025 workshop, and LREC-COLING. Industry-wise, I’ve interned as a researcher at Microsoft Research and as a software engineer at Microsoft Azure Storage. I'm very familiar with state-of-the-art LLMs, their training and evaluation pipelines, and foundational/classic NLP methods.
DPhil Linguistics
Fangru Lin
3
Federico is a final year DPhil student supervised by Professor Michael Bronstein working on reasoning capabilities of Large Language Models. He has interned twice at Google DeepMind in LLM reasoning and safety teams, contributing also to Gemini and discovery projects. He has also interned at Microsoft Research in the AI4Science research unit in Amsterdam working on protein folding. He will be joining in December Google DeepMind full-time as a Research Scientist.
DPhil Computer Science
Federico Barbero
4
I am a DPhil student developing AI-driven solutions for cardiovascular risk prediction, with a particular emphasis on sudden cardiac death and subclinical atherosclerosis. My academic record includes publications in high-impact medical journals such as Nature Genetics, The Lancet, JACC, JAMA and Science (accepted). Additionally, I am the Graduate Director of Innovation and Entrepreneurship at Reuben College, organising a wide range of events to generate opportunities for student entrepreneurs during their time at Oxford (e.g. private networking of student AI entrepreneurs and 20 UAE financial leaders). Finally, I am starting a business myself on enabling cardiovascular disease prevention using AI.
DPhil in Women's and Reproductive Health
Ben Omega Petrazzini
5
I am a graduate student pursuing an MSt in Practical Ethics at Oxford, where I also completed an MSc in Computer Science and Philosophy. My work sits at the intersection of moral philosophy and computer science, aiming to bridge the gap between ethical theory and technological implementation.Currently I research the ethics of Human-Computer Interaction, particularly the Human-AI relationship. Alongside my studies, I work as a L4 Software Engineer at Google. My past research includes work on examining threats to user autonomy from anthropomorphic AI, critiquing data scraping in AI training, and measuring cultural erasure in generative models.
Mst Practical Ethics
Beatrice Marchegiani
2
I’m a PhD student at the University of Oxford, focusing on planning and reasoning in large language models. I have multiple first-author publications on these topics at top venues, including ICML 2024 main conference, ICLR 2025 workshop, and LREC-COLING. Industry-wise, I’ve interned as a researcher at Microsoft Research and as a software engineer at Microsoft Azure Storage. I'm very familiar with state-of-the-art LLMs, their training and evaluation pipelines, and foundational/classic NLP methods.
DPhil Linguistics
Fangru Lin
3
Federico is a final year DPhil student supervised by Professor Michael Bronstein working on reasoning capabilities of Large Language Models. He has interned twice at Google DeepMind in LLM reasoning and safety teams, contributing also to Gemini and discovery projects. He has also interned at Microsoft Research in the AI4Science research unit in Amsterdam working on protein folding. He will be joining in December Google DeepMind full-time as a Research Scientist.
DPhil Computer Science
Federico Barbero
4
I am a DPhil student developing AI-driven solutions for cardiovascular risk prediction, with a particular emphasis on sudden cardiac death and subclinical atherosclerosis. My academic record includes publications in high-impact medical journals such as Nature Genetics, The Lancet, JACC, JAMA and Science (accepted). Additionally, I am the Graduate Director of Innovation and Entrepreneurship at Reuben College, organising a wide range of events to generate opportunities for student entrepreneurs during their time at Oxford (e.g. private networking of student AI entrepreneurs and 20 UAE financial leaders). Finally, I am starting a business myself on enabling cardiovascular disease prevention using AI.
DPhil in Women's and Reproductive Health
Ben Omega Petrazzini
5
I am a graduate student pursuing an MSt in Practical Ethics at Oxford, where I also completed an MSc in Computer Science and Philosophy. My work sits at the intersection of moral philosophy and computer science, aiming to bridge the gap between ethical theory and technological implementation.Currently I research the ethics of Human-Computer Interaction, particularly the Human-AI relationship. Alongside my studies, I work as a L4 Software Engineer at Google. My past research includes work on examining threats to user autonomy from anthropomorphic AI, critiquing data scraping in AI training, and measuring cultural erasure in generative models.
Mst Practical Ethics
Beatrice Marchegiani
10:30 PM - 11:00 PM
Student Research
Presentations
Lecture Theatre
11:00 PM - 12:00 AM
QA + Poster Session
Seminar Room
Student Showcase
10:30 PM - 11:00 PM
Student Research
Presentations
Lecture Theatre
11:00 PM - 12:00 AM
QA + Poster Session
Seminar Room
2
Fangru Lin
I’m a PhD student at the University of Oxford, focusing on planning and reasoning in large language models. I have multiple first-author publications on these topics at top venues, including ICML 2024 main conference, ICLR 2025 workshop, and LREC-COLING. Industry-wise, I’ve interned as a researcher at Microsoft Research and as a software engineer at Microsoft Azure Storage. I'm very familiar with state-of-the-art LLMs, their training and evaluation pipelines, and foundational/classic NLP methods.
DPhil Linguistics
3
Federico Barbero
Federico is a final year DPhil student supervised by Professor Michael Bronstein working on reasoning capabilities of Large Language Models. He has interned twice at Google DeepMind in LLM reasoning and safety teams, contributing also to Gemini and discovery projects. He has also interned at Microsoft Research in the AI4Science research unit in Amsterdam working on protein folding. He will be joining in December Google DeepMind full-time as a Research Scientist.
DPhil Computer Science
4
Ben Omega Petrazzini
I am a DPhil student developing AI-driven solutions for cardiovascular risk prediction, with a particular emphasis on sudden cardiac death and subclinical atherosclerosis. My academic record includes publications in high-impact medical journals such as Nature Genetics, The Lancet, JACC, JAMA and Science (accepted). Additionally, I am the Graduate Director of Innovation and Entrepreneurship at Reuben College, organising a wide range of events to generate opportunities for student entrepreneurs during their time at Oxford (e.g. private networking of student AI entrepreneurs and 20 UAE financial leaders). Finally, I am starting a business myself on enabling cardiovascular disease prevention using AI.
DPhil in Women's and Reproductive Health
5
Beatrice Marchegiani
I am a graduate student pursuing an MSt in Practical Ethics at Oxford, where I also completed an MSc in Computer Science and Philosophy. My work sits at the intersection of moral philosophy and computer science, aiming to bridge the gap between ethical theory and technological implementation.Currently I research the ethics of Human-Computer Interaction, particularly the Human-AI relationship. Alongside my studies, I work as a L4 Software Engineer at Google. My past research includes work on examining threats to user autonomy from anthropomorphic AI, critiquing data scraping in AI training, and measuring cultural erasure in generative models.
Mst Practical Ethics
2
Fangru Lin
I’m a PhD student at the University of Oxford, focusing on planning and reasoning in large language models. I have multiple first-author publications on these topics at top venues, including ICML 2024 main conference, ICLR 2025 workshop, and LREC-COLING. Industry-wise, I’ve interned as a researcher at Microsoft Research and as a software engineer at Microsoft Azure Storage. I'm very familiar with state-of-the-art LLMs, their training and evaluation pipelines, and foundational/classic NLP methods.
DPhil Linguistics
3
Federico Barbero
Federico is a final year DPhil student supervised by Professor Michael Bronstein working on reasoning capabilities of Large Language Models. He has interned twice at Google DeepMind in LLM reasoning and safety teams, contributing also to Gemini and discovery projects. He has also interned at Microsoft Research in the AI4Science research unit in Amsterdam working on protein folding. He will be joining in December Google DeepMind full-time as a Research Scientist.
DPhil Computer Science
4
Ben Omega Petrazzini
I am a DPhil student developing AI-driven solutions for cardiovascular risk prediction, with a particular emphasis on sudden cardiac death and subclinical atherosclerosis. My academic record includes publications in high-impact medical journals such as Nature Genetics, The Lancet, JACC, JAMA and Science (accepted). Additionally, I am the Graduate Director of Innovation and Entrepreneurship at Reuben College, organising a wide range of events to generate opportunities for student entrepreneurs during their time at Oxford (e.g. private networking of student AI entrepreneurs and 20 UAE financial leaders). Finally, I am starting a business myself on enabling cardiovascular disease prevention using AI.
DPhil in Women's and Reproductive Health
5
Beatrice Marchegiani
I am a graduate student pursuing an MSt in Practical Ethics at Oxford, where I also completed an MSc in Computer Science and Philosophy. My work sits at the intersection of moral philosophy and computer science, aiming to bridge the gap between ethical theory and technological implementation.Currently I research the ethics of Human-Computer Interaction, particularly the Human-AI relationship. Alongside my studies, I work as a L4 Software Engineer at Google. My past research includes work on examining threats to user autonomy from anthropomorphic AI, critiquing data scraping in AI training, and measuring cultural erasure in generative models.