Lumiata’s core is constructed with data science, as we build models for cost and disease prediction. This year, we’ve welcomed new members to our data science team with a shared dedication to use deep learning and machine learning to innovate healthcare. We’re honored to introduce them.
From left to right in the above photo: Matthew McClelland, Wideet Shende, Anusha Mohan, Hilaf Hasson, and Li-Yen Hsu
I was born in Arizona, and moved to Israel when I was still a baby. At 19 I graduated with a BSc from Tel Aviv University and moved back to the US to do a PhD in Mathematics at the University of Pennsylvania. I’ve spent the years before coming to Lumiata as a mathematician, having done research as faculty at three different universities: Penn State, Stanford University, and the University of Maryland. I’m excited about applying my knowledge and skills to improving the US healthcare system.
I have a background in Physics and Astronomy, with my PhD research on the evolution of distant galaxies. I decided to switch to data science in the tech industry, hoping to use machine learning and my quantitative skills to make direct impact to the society. I feel privileged to work in Lumiata, where I can not only work on advanced technology, but also solve important problems to improve healthcare and the quality of lives.
I recently graduated from the University of San Francisco with a Masters degree in Data Science. In addition to studying contemporary computation and analytical techniques, I worked with the LA County Registrar, analyzing county wide voting behaviour. It’s been exciting to apply my experience to the health domain with Lumiata.
I joined Lumiata as a Data Scientist in May 2018. I have my Master’s degree in Biotechnology and four years of experience working in biopharmaceutical industry. I completed Graduate certificate program in Data science from Harvard University and I joined Galvanize Data Science immersive program to strengthen my skills to drive business decisions by leveraging data. I am passionate about using machine learning techniques to get actionable insights from big data to improve healthcare system. I strongly believe in Lumiata’s mission as data science has the potential to revolutionize healthcare.
I graduated from UC Berkeley in May, 2018 with a degree in Statistics and Computer Science and began working here at Lumiata a month later. During my time at Berkeley I participated in several Data Science internships and research projects that helped bolster my skills as a Data Scientist. I am excited to be working here with the mission to help people across the country by making healthcare more affordable.