Cypriot scientist and academic Xenia Miscouridou speaks to PANIS PIERI about artificial intelligence, data science, working with Google, as well as being involved with research and innovation.
It is a fact that Cyprus has amazing scientists around the world. One of these cool but down-to-earth scientists is Xenia Miscouridou.
Xenia has recently been recognized as one of the Forbes 30 under 30 Europe in the sector of science and healthcare.
Xenia is a Lecturer in Statistics and Machine Learning at Imperial College London, within a new research center focusing on interdisciplinary AI research, bringing together academia and industry.
Xenia is the President of j-ISBA, the early career section of the International Society of Bayesian Analysis. She is active in promoting women in Data Science and Statistics through the organization of events and workshops.
Xenia will be attending as a speaker a couple of events in Cyprus in the next few days. On Saturday (24/9) she will join the EcoxCyprus online meetup Can Cyprus become a global AI and Data Science Hub? and on Thursday (29/9) the Cyprus Forum.
Tell us a little about your story and why you got involved with Artificial Intelligence, mathematics and data science.
I studied Mathematics at Imperial College London, did a Master’s degree in Advanced Mathematics and Statistics at the University of Cambridge and then a PhD in Statistical Machine Learning at the University of Oxford. Machine learning is a branch of artificial intelligence that caught my curiosity during my Master’s, playing in this way a role in my decision to pursue a PhD in the area. Outside my topic of specialization, I was always keen to learn more about new advancements in AI by studying publications in research journals and going to academic lectures or conferences. Throughout my PhD, in Oxford, I sought opportunities to collaborate with other researchers at NYU, the Alan Turing Institute, and DeepMind, as well as working for a short time as a Data Scientist in Google. After my studies, excited to see in practice the applicability of statistics and machine learning, I worked as a Machine Learning Scientist at AIG where I designed algorithms to give a business decision, which would otherwise be given by experts, automating in this way some parts of the internal processes.
Continue reading: https://cyprus-mail.com/2022/09/23/artificial-intelligence-is-a-tool-for-human-creativity-not-a-risk/
It is a fact that Cyprus has amazing scientists around the world. One of these cool but down-to-earth scientists is Xenia Miscouridou.
Xenia has recently been recognized as one of the Forbes 30 under 30 Europe in the sector of science and healthcare.
Xenia is a Lecturer in Statistics and Machine Learning at Imperial College London, within a new research center focusing on interdisciplinary AI research, bringing together academia and industry.
Xenia is the President of j-ISBA, the early career section of the International Society of Bayesian Analysis. She is active in promoting women in Data Science and Statistics through the organization of events and workshops.
Xenia will be attending as a speaker a couple of events in Cyprus in the next few days. On Saturday (24/9) she will join the EcoxCyprus online meetup Can Cyprus become a global AI and Data Science Hub? and on Thursday (29/9) the Cyprus Forum.
Tell us a little about your story and why you got involved with Artificial Intelligence, mathematics and data science.
I studied Mathematics at Imperial College London, did a Master’s degree in Advanced Mathematics and Statistics at the University of Cambridge and then a PhD in Statistical Machine Learning at the University of Oxford. Machine learning is a branch of artificial intelligence that caught my curiosity during my Master’s, playing in this way a role in my decision to pursue a PhD in the area. Outside my topic of specialization, I was always keen to learn more about new advancements in AI by studying publications in research journals and going to academic lectures or conferences. Throughout my PhD, in Oxford, I sought opportunities to collaborate with other researchers at NYU, the Alan Turing Institute, and DeepMind, as well as working for a short time as a Data Scientist in Google. After my studies, excited to see in practice the applicability of statistics and machine learning, I worked as a Machine Learning Scientist at AIG where I designed algorithms to give a business decision, which would otherwise be given by experts, automating in this way some parts of the internal processes.
Continue reading: https://cyprus-mail.com/2022/09/23/artificial-intelligence-is-a-tool-for-human-creativity-not-a-risk/
