Draelos Lab @
Principal Investigator
Dr. Anne Draelos first studied physics and computer science as an undergraduate at North Carolina State University. She completed a masters in electrical & computer engineering and a PhD in physics at Duke University, focused on the interplay between various quantum phenomena in networked systems. She then cross-trained as a postdoctoral fellow in neuroscience to study arguably the most complex network around: the brain.
Now at U-M BME as faculty, her lab is focused on machine learning and statistical techniques to facilitate real-time analysis of high-dimensional neural and behavioral data. Dr. Draelos currently holds a Career Award at the Scientific Interface from the Burroughs Wellcome Fund.
Secret skill: Picking locks
Research Scientist
B.S.E: Biomedical Engineering, Case Western Reserve University
M.S.: Biomedical Engineering (Conc. in Bioelectric and Neural Engineering), University of Michigan
Project(s): Bayesian optimization for visual stimuli
Secret skill: The ability to trip while standing
Research Scientist
BTech (B.S.): Computer Science & Engineering, Indian Institute of Technology Kanpur
M.S.E.: Electrical & Computer Engineering (Conc. in Data Science & Machine Learning), University of Michigan
Project(s): Real-time BCI with neural stimulations
Secret skill: Fluent in four languages
PhD Student
B.A.: Neuroscience, Washington University
Project(s): Real-time BCI with neural stimulations
Secret skill: Can bake bread without a recipe
PhD Student
B.S.: Neuroscience & Computer Science, New York University
Project(s): Real-time BCI with neural stimulations, Latent neural/behavioral modeling, Bayesian optimization for visual stimuli
Secret skill: Can identify the flag of (almost) any country in the UN
PhD Student
B.S.: Biomedical Engineering & Computer Science, Valparaiso University
Project(s): Real-time BCI with neural stimulations
Secret skill: Identifying different types of mushrooms
MS Student
B.S: Statistics, Southern University of Science and Technology
Project(s): Bayesian optimization for visual stimuli
Secret skill: Can identify (almost) every country's capital
MS Student
B.S.: Statistics, Sun Yat-sen University
Project(s): Latent neural/behavioral modeling
Secret skill: Really good at walking
MS Student
B.S.: Bioinformatics, Chinese University of Hongkong-Shenzhen
Project(s): Bayesian optimization for visual stimuli
Secret skill: Playing the game "Go"
Undergraduate
Major: Computer Engineering, University of Michigan
Project(s): Real-time BCI with neural stimulations
Secret skill: Really good at whistling
Undergraduate
Major: Biomedical Engineering
Project(s): Real-time BCI with neural stimulations
Secret skill: Cooking & photography