With so many recent advances in AI, it is important for statisticians to both keep up to date with the most recent methods and getting involved in guiding their application to the most pressing statistical challenges.
In today’s episode, Karim and I cover cutting edge examples of how data science and statistical sciences are intersecting. Learn from this episode why different approaches matter when looking at clinical development data.
Karim shares about his career, his roles, and different approaches and methods.
We also discuss the following points:
- Machine learning
- AI
- Predictive analytics
- Data science
- Different statistical methods and limitations
- Different tools and applications
- Statistical innovation
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Karim Malki
Senior Director, Head of Biomarkers and Predictive Analytics at UCB
Institute of Psychiatry
De Crespigny Park
London, United Kingdom
Department: MRC Centre for Social Genetic & Developmental Psychiatry
Profile: https://kclpure.kcl.ac.uk/portal/karim.malki.html

Join The Effective Statistician LinkedIn group
This group was set up to help each other to become more effective statisticians. We’ll run challenges in this group, e.g. around writing abstracts for conferences or other projects. I’ll also post into this group further content.
I want to help the community of statisticians, data scientists, programmers and other quantitative scientists to be more influential, innovative, and effective. I believe that as a community we can help our research, our regulatory and payer systems, and ultimately physicians and patients take better decisions based on better evidence.
I work to achieve a future in which everyone can access the right evidence in the right format at the right time to make sound decisions.
When my kids are sick, I want to have good evidence to discuss with the physician about the different therapy choices.
When my mother is sick, I want her to understand the evidence and being able to understand it.
When I get sick, I want to find evidence that I can trust and that helps me to have meaningful discussions with my healthcare professionals.
I want to live in a world, where the media reports correctly about medical evidence and in which society distinguishes between fake evidence and real evidence.
Let’s work together to achieve this.
