Special Events
- March 27, Dominik Miketa, Exscientia, Tales from Pharmatech: How a theoretical physicist learnt to love organic chemistry
Time and Location: 12:30 at the London Institute for Mathematical Sciences, 21 Albemarle St.
Abstract: Biotech lies at the intersection of rapid technological and life-scientific developments. Its central premise is alluring: leverage cutting-edge technologies and scientific discoveries and loosen the hold of disease over humanity.
Join for an informal chat about drugs, the organisations developing them and the individuals doing the work. What’s life like in a modern pharmaceutical company? Why would theoretical physicists be interested in joining one? And how do you make that transition?
Bio: Dom got his PhD in theoretical physics from Imperial College London; his thesis “Algebraic Constructions of 3d N=4 Coulomb Branches” was supervised by Amihay Hanany. He started moving to machine learning in 2019 as a research intern and is now Senior AI Research Scientist at Exscientia, a drug discovery pharmatech company, where he focuses on synthetic chemistry and accelerating drug development.
- March 13, Sebastian Lautz, Tesco, From pen and paper to machine learning
Time and Location: 12:30 at the London Institute for Mathematical Sciences, 21 Albemarle St.
Abstract: In this talk, I will outline how I went from solving Killing spinor equations with pen and paper to a career in coding-intensive Data Science. I'll talk about my experience of working as a Data Scientist for Tesco and how leaving academia didn't mean the end of doing research for me.
Bio: Sebastian completed his PhD in Theoretical Physics at King's in 2019. He then transitioned from the less big data-driven classification of SUGRA backgrounds to a career in computationally heavy machine learning. Since 2020, he's been working as a (by now) Senior Data Scientist at Tesco where he mainly works within the Price Optimisation space and looks after collaborations with academia.
- January 30, Charles Martinez, G-Research, Careers in Quantitative Finance
Time and Location: 13:00 at the London Institute for Mathematical Sciences, 21 Albemarle St.
Abstract: G-Research are a leading quantitative research and technology company based in London. Day to day we use a variety of quantitative techniques to predict financial markets from large data sets worldwide. Mathematics, statistics, machine learning, natural language processing and deep learning is what our business is built on. Our culture is academic and highly intellectual. In this seminar I will explain our background, current AI research applications to finance and our ongoing outreach and grants programme. The seminar will be aimed at PhD and Masters students who are curious about quant finance or interested in internship opportunities.
The presentation will be of a duration of 45 minutes with 15 minutes for Q&A.
We will cover the following topics:
- Introducing G-Research
- What happens in the black box?
- What does a Quant look like?
- Our recruitment and internship processes
- Q&A
Bio: Dr Charles Martinez is the Academic Relations Manager at G-Research. Charles started his studies as a physicist at University Portsmouth Physics department's MPhys programme, and later completed a PhD in Phonon interactions in Gallium Nitride nanostructures at the University of Nottingham. Charles then worked on indexing and abstract databases at the Institution for Engineering and Technology (IET) before moving into sales in 2010. Charles' previous role was as Elsevier's Key Account Manager, managing sales and renewals for the UK Russell Group institutions, Government and Funding body accounts, including being one of the negotiators in the recent UK ScienceDirect Read and Publish agreement. Since leaving Elsevier Charles is dedicated to forming beneficial partnerships between G-Research and Europe's top institutions, and is living in Cambridge, UK.
Presentation slides