Clare Congdon

Clare Congdon is a highly skilled professional specializing in machine learning, data mining, bioinformatics, evolutionary computation, artificial intelligence, AI and learning for games, autonomous agents, adaptive agents, robotics, data science, and interactive art. With a strong problem-solving and critical thinking background, Clare applies machine learning techniques to uncover patterns in data, make predictions, and form hypotheses for scientific phenomena.

Collaboration is at the core of Clare's work, as she enjoys partnering with experts from various fields to explore interdisciplinary projects. Her previous collaborations span fields like biology, genetics, biomedical research, social sciences, economics, education, and the arts.

In her projects, Clare uses tools like sklearn, Weka, TensorFlow, and custom software to analyze data, design data structures, and develop specialized software solutions. She emphasizes the importance of leveraging existing code libraries and tools while also creating custom pipelines when necessary.

Clare Congdon pursued a PhD in Computer Science at the University of Michigan and holds a BA in Mathematics from Wesleyan University. She has held key roles in several prestigious organizations, including Scientific Data and Content Director at Sensor Cloud (Medidata Solutions), Senior Machine Learning Research Scientist, Senior Research Scientist at Introspective Systems LLC, Visiting Associate Professor at Bowdoin College, Faculty Scientist II at Maine Medical Center Research Institute, Associate Professor at University of Southern Maine, Assistant Professor at Colby College, Visiting Lecturer at Bryn Mawr College, and Visiting Assistant Professor at Bowdoin College.