World-class consultants & engineers

Derek is a data scientist and engineer with a background in tech and research. Prior to founding Stratus, he served as a principal data scientist for Lumo Bodytech and a data scientist for the founding team at Optimizely. Derek works across the full skill stack, constructing data pipelines, managing and optimizing data warehouses, building machine learning models, and informing business and product decisions with analytics and predictive modeling. While at Stanford, he designed a temporal imaging system in collaboration with Lawrence Livermore National Laboratory. In his free time, he enjoys social dancing and is an active member of Danse Libre and Swing Cats.

Charles works as a data decoder, translating between the worlds of mathematics and business. He applies a unique blend of machine learning know-how and corporate acumen to helping CEOs glimpse the future and forge new paths for their companies. He previously held data science roles at Andreesen-Horowitz-backed mid-market companies Jawbone and Optimizely, and was director of data science at Oak Labs, acquired by Verifone. He served as a research fellow at NYU, analyzing stock market performance, and later as assistant director of research at the Wharton School, connecting top companies to academic teams in order to conduct applied data science investigations. When he’s not building businesses–he runs a short-term rental outfit and a Japanese street food company–or boning up on one of the four languages he speaks, you can find Charles at the San Francisco Museum of Modern Art or attending the Sundance Film Festival.

During Peter’s career in law, banking, publishing, and education technology he was CEO for twenty years, including ten years as CEO of Random House, the world’s leading trade book publisher. In 2001-2002 he was a Visiting Lecturer at the University of Vienna, and during 2008-2013 he was a professor at Harvard Business School. Peter is married to Candice Carpenter Olson and has seven children. He is a mountain biker and enjoys reading in English, German, and Russian.

Following his career as CEO, Peter became a CEO Coach and Advisor. He works with McKinsey as a Senior Advisor to CEOs, and he also coaches highly talented individuals. His focus in coaching is to design approaches specific to each client, and he emphasizes strategic and tactical changes that can make clients more effective in their careers and happier in their personal lives.

Angela’s focus is bringing clarity to the business core. Prior to joining Stratus, she was an independent content consultant, with projects spanning film, tech, higher education, sales, fintech, and food/beverage, and employers like Facebook and Red Wagon Entertainment. She is a writer; her work has received the Les River Fellowship for Young Novelists, as well as the New Voices in Fiction prize, judged by R.O. Kwon.

Rachel is a data scientist with a background in developmental biology, genetics, neuroscience, and biochemistry. Rachel works on projects across a variety of business domains, and brings particular expertise to biological and healthcare applications. While at Stanford, Rachel used experimental studies and computational genomics to study the genetic basis of human evolution and disease traits, collaborating with teams of scientists at Stanford, across the country, and internationally. In her free time, she enjoys a rotation of hobbies including strength training, dancing, aerial arts, climbing, crocheting, and pyrography.

David’s mathematical abilities allow him to deeply grasp a broad range of analytical techniques and adapt rapidly to the specificities of a given client problem. As an undergraduate research fellow at Caltech, David explored microeconomic modeling of business performance, and he later developed methods of predicting viral evolution and spread as a member of Stanford’s Palacios Research Group. When the work day ends, you can catch him running up the steepest trails he can find or doing agility training exercises with his dog.

Kate excels at wrangling data from disparate sources and putting it to work through visualizations and dashboards. She has served as a research assistant at several laboratories, applying her skills to subjects ranging from neurological development to laser network simulations to modeling Hernquist galaxies. Kate’s PhD research focused on making the invisible predictable: she derived a theoretical framework connecting magma fluid dynamics and seismic wave generation, allowing volcanologists insights into processes that cannot be directly observed. She enjoys swimming, exploring the Los Angeles food and film scenes, and knitting cardigans for her friends.

Audre is a data scientist and software engineer with training from Stanford University, Amazon, and LinkedIn. In addition to data science, she has experience in full-stack development and signals processing. In her spare time, Audre is a crisis counselor, a non-gourmet chef, and a part-time plant parent.

Eleanor is a data analytics engineer with 10 years of experience and a background in quantitative finance and healthcare tech. She has worked across a variety of industries and is passionate about clean and well-modeled data to make generating insights easy and straightforward. She is also passionate about mentoring newcomers to the field and supporting bootcamp students. In her spare time, she loves being out in nature and tending to her animals.

Yasser brings deep expertise in unifying disparate, messy datasets across complex organizations. He’s worked in business intelligence in a wide range of industries, with stints at HelloChef, a meal kit startup; Yara-backed Agoro Carbon Alliance, a collaboration focused on agricultural carbon sequestration; and the Rady Children’s Institute for Genomic Medicine at Rady Children’s Hospital-San Diego. When he’s offline, he enjoys the tactile nature of beekeeping, woodworking, and mechatronic experimentation.

David is a veteran data and systems engineer with several decades of experience constructing data warehouses and developing engineering teams in the wearables, IoT, computer hardware, banking, finance, and analytics spaces. He is currently a senior data architect at Nauto, an artificial intelligence company that coaches safe driving for fleet vehicle operators. David serves as an advisor to Stratus Data.