Arvinder Palaha
About Arvinder Palaha
Arvinder Palaha is a Machine Learning Operations Engineer with extensive experience in data acquisition and scientific image processing. He has worked at notable institutions such as Diamond Light Source and CERN, contributing to advancements in life science experiments and optical systems calibration.
Current Role at Exscientia
Arvinder Palaha serves as a Machine Learning Operations Engineer at Exscientia, a position he has held since 2021. In this role, he focuses on facilitating scientific research by ensuring the reliable and continuous operation of tools. He translates stakeholder science requirements into technical specifications, optimizing the integration of machine learning within scientific workflows.
Previous Experience at Diamond Light Source
Prior to his current role, Palaha worked as a Systems Software Engineer at Diamond Light Source from 2014 to 2021. During his tenure, he managed multiple data acquisition camera pipelines, optimizing data throughput for life science experiments. His contributions enhanced the efficiency of data collection processes critical to scientific research.
Academic Background in Physics
Arvinder Palaha completed his Doctor of Philosophy (PhD) in Nuclear and Particle Physics at the University of Birmingham from 2008 to 2013. He also earned a Master of Science (MSci) in Physics from the same institution between 2004 and 2008. His academic training provided a strong foundation in advanced physics concepts and research methodologies.
Experience at CERN
Palaha gained valuable experience as an Experimental Physicist at CERN from 2009 to 2011. In this role, he developed a mathematical model for the automated calibration of optical systems, contributing to the precision and accuracy of experimental setups in high-energy physics.
Open-Source Contributions
He implemented an open-source algorithm for scientific image processing in life science crystallography, which has become an industry-standard processing plugin. This contribution has significantly impacted the field by providing researchers with reliable tools for image analysis.