Ali Marjaninejad
About Ali Marjaninejad
Ali Marjaninejad is a Senior Data Scientist at Ceribell, specializing in bio-signal processing and bio-inspired autonomous systems. He has a strong background in neuroscience applications, having contributed to research in Brain Machine Interfaces and Neuromechanics during his academic career at USC.
Current Role at Ceribell
Ali Marjaninejad currently serves as a Senior Data Scientist at Ceribell, a company specializing in Rapid Response EEG technology. He has held this position since 2022, contributing to advancements in EEG applications and data analysis. His role involves leveraging machine learning techniques to enhance the capabilities of EEG systems, aiming to improve patient outcomes in neurological assessments.
Previous Experience at USC
Prior to his current role, Ali Marjaninejad worked at the University of Southern California (USC) in various capacities. He was a PhD Candidate from 2015 to 2021, where he focused on research in Biomedical Engineering. Following his doctoral studies, he served as a Postdoctoral Research Associate for seven months in 2021-2022. During his time at USC, he also held the position of President of the Society for Brain Mapping and Therapeutics student chapter from 2018 to 2020.
Internship at Neural Analytics
In 2018, Ali Marjaninejad completed a three-month internship as a Data Scientist at Neural Analytics in Los Angeles. This experience allowed him to apply his academic knowledge in a practical setting, focusing on data analysis and research related to brain health technologies.
Education and Expertise
Ali Marjaninejad holds a Doctor of Philosophy (PhD) in Biomedical/Medical Engineering from the University of Southern California, which he completed in 2021. He also earned a Master of Science (M.Sc.) in Biomedical/Medical Engineering from Amirkabir University of Technology - Tehran Polytechnic, where he studied from 2012 to 2014. His academic background emphasizes bio-signal processing and bio-inspired autonomous systems, with a strong focus on neuroscience applications.
Research Contributions
Throughout his academic and professional career, Ali Marjaninejad has contributed to research in Brain Machine Interfaces (BMI) and Neuromechanics at USC. His work involves engaging in AI research with a focus on applications in neuroscience, as well as projects that integrate machine learning and robotics to advance the field.