Janet Macmillan
Janet leads the UK user experience team at MathWorks where her team's mission is to create intuitive products for scientists and engineers based on a strong understanding of the user needs and technology. She holds a MEng of Computing from Imperial College London, with over 18 years' experience in the software industry.
Janet teaches deep learning hands-on workshops at conferences such as Hopperx1 London. She also presents and facilitates breakout sessions at the MathWorks Advisory Board conferences in the UK and US where she collaborates with scientists and engineers from academia, medical, automotive, and other industries.
Janet hosts Women in Tech ignite talk events in the UK in a regular basis, bringing inspiring and talented women working in science and engineering together.
Deborah Ferreira
Deborah Ferreira, a Natural Language Processing Engineer at MathWorks, holds a Ph.D. in the field with a specialization in adapting Large Language Models for mathematical text. Through her research, she has made contributions to the development of NLP techniques for scientific literature. As the dev lead for the Text Analytics group, she's all about creating practical solutions to streamline workflows. By incorporating NLP into engineering and science, she aims to assist professionals in accelerating their work. When she's not busy with NLP, Deborah is a total gamer, always ready to conquer the latest video game challenges. Plus, she's into archery, where she sharpens her focus and aims for the bullseye. Deborah looks forward to supporting and collaborating with fellow women in STEM, sharing her knowledge and experience to contribute to the growth and success of the community.
Maria J. Duarte Rosa
Maria studied Physics in Lisbon, Portugal, before moving to London, UK, to do a PhD in Neuroimaging at UCL. She discovered Machine Learning while she was doing her PhD and has since been a great enthusiast of this area. After her PhD, she worked for several years as a post-doc using Machine Learning to analyse brain imaging data with a focus on better diagnosing psychiatric disorders. After almost 10 years in London, it was time for a new challenge and to learn more about new areas of Machine Learning, such as Deep Learning. She then moved to Cambridge and worked for MathWorks as a Deep Learning Advanced Support Engineer. She is now a Senior Lecturer in Data Science at Anglia Ruskin University. She loves travelling, running, reading, data science competitions and volunteering in community projects whenever there is time.
Alexandra Martinez Rodriguez
Alexandra studied Cognitive Psychology in Madrid and she holds a Masters in Mathematical Modelling and Statistics. She earned her PhD in Biomedical Engineering from University College Dublin, where she focused on understanding Human Decision Making. Alexandra has a vast experience carrying out research projects. During her studies, she worked at different research institutes, such as the Neuroscience Institute at Trinity College Dublin, where she studied the early signs of Ageing through the analysis of brain imaging data. Alexandra's passion for learning and her enthusiasm for acquiring new skills have been instrumental in her journey into the world of Machine Learning and Data Science. During her undergraduate studies, she took it upon herself to learn how to code in various languages, a decision that has proven invaluable throughout her career. During her PhD she became familiar with Machine Learning techniques and this paved the way for her current work as a Senior UX Researcher at MathWorks, where she focuses on Deep Learning. In her free time, Alexandra enjoys exploring new restaurants and cuisines, dancing, and hiking.
Julia Hoerner
Julia studied Mechatronics & Microsystem Engineering at the Applied Science University in Heilbronn, Germany, where she promoted the presence of girls/women in engineering at the Girls'Day events. She has a vast industrial experience working as a Technical Project Manager. She completed her Masters Degree in Renewable Energy at the University of Dundee and received a PhD in Offshore Wind Energy from the University of Hull. After a couple of postdoctoral positions at the University of Reading and Strathclyde University, she is now working at MathWorks, Cambridge as a Deep Learning Academic Liaison Manager. Julia is a lifelong learner and firmly believes that education and inclusion transforms lives. She also loves learning new languages, travelling, playing volleyball and rock climbing.