Steven Calder

Steven Calder has a diverse work experience spanning various industries and roles. Steven started their career as a Statistical Analyst for Mark Warner for Virginia in 2001. Steven then worked as a Research Assistant at Jefferson Lab from 2004 to 2006. From 2006 to 2011, they served as a Graduate Research Assistant and later as a Graduate Research Fellow at the University of Minnesota.

In 2011, Calder became a Project Manager at Wageningen Food & Biobased Research before transitioning to a role as a Research Fellow at Kyushu University in 2013. Later that year, they joined Rocket Internet SE as a Data Scientist until 2015 when they became the Head of Data Science at Abidat.

In 2016, Calder took on the position of Research Supervisor at Technische Universität Berlin while also working as a Senior Data Scientist and eventually as the Head of R&D Data Analytics Center at Siemens until 2019. Currently, Calder is working as the Lead Data Scientist at Doximity, leading projects such as medical text modeling, user segmentation, and article recommendation. Steven is responsible for the organization-wide dimensional data model and Looker data visualizations, as well as leading machine learning efforts. Steven has experience with various tools and technologies including Python, data visualization, AWS Sagemaker, Snowflake, machine learning techniques, natural language processing, deep learning, and A/B testing.

Steven Calder has an extensive education history. Steven earned a Bachelor of Science (BS) degree in Physics from William & Mary in 2006. Steven then pursued a Master of Science (MS) degree in Chemistry at the University of Minnesota from 2006 to 2008. Following that, they obtained a Doctor of Philosophy (PhD) degree in Chemical Physics from the University of Minnesota between 2008 and 2011.

In 2012 to 2013, Steven attended Stanford University, where they obtained a certificate in Machine Learning. During this time, they likely acquired specialized knowledge in this field.

To further enhance their skills and expertise, Steven obtained several additional certifications. In 2018, they completed the Deep Learning Specialization from deeplearning.ai on Coursera. In 2019, they earned the DeepLearning.AI TensorFlow Developer Professional Certificate on the same platform. In 2020, they completed two more certifications from Coursera: "Sentiment Analysis with Deep Learning using BERT" and "Fine Tune BERT for Text Classification with TensorFlow."

While Steven's education history is well-documented, no information is provided regarding their current or future educational pursuits.