Technical Skills

Day-to-day comfort:

• Python
• MATLAB
• Arduino
• LabVIEW
• Processing
• Data analysis
• Machine learning
• Deep learning
• Signal processing

• Statistics
• LaTeX
• Grant writing
• CAD (SolidWorks, Inventor, AutoCAD, OpenSCAD)
• Version control (Git)
• Operating systems (Windows, Linux, MacOS)
• Adobe stack (Illustrator, Photoshop, Lightroom, Premiere

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Experienced:

• SQL, MySQL
• Django
• Flask
• Tableau
• R
• Java
• C++
• Markdown/HTML/CSS

Experience

May 2020 - Present

Sept. 2015 - May 2020

May 2013 - July 2015

Data Science Consultant
Multiple clients

• Discussed with clients to generate and validate models based on project goals.
• Performed data preprocessing and exploratory analyses to have mutual understanding of data sets with clients.
• Worked independently and collaborated in interdisciplinary teams on fast-paced projects in various industries.
• Created scalable back-end repositories for start-ups.
• Documented work and presented data visualizations.

Graduate Student Researcher (National Science Foundation Fellow)
University of California, Berkeley

• Designed and conducted multiple brain machine interface (BMI) and neuroscience experiments, examining how the brain learns to control neuroprosthetic devices
• Programmed experimental paradigms using Python, Arduino, LabVIEW, andMATLAB 
• Decoded neural signals using machine learning techniques into kinematic state-spaces for effector control
• Recorded electrophysiological data from various brain areas in rhesus macaque monkeys
• Analyzed large time-series neural datasets, correlating high-dimensional neural patterns with behavioral outputs 
• Presented experimental findings at numerous conferences in the forms of poster presentations and seminar talks. Published multiple papers on neuroprosthetic learning
• Mentored undergraduate and junior graduate students and collaborated on projects 
• Worked as Graduate Student Instructor (GSI) for a Bioengineering Senior Capstone class helping groups of students design medical devices. Prepared lectures and workshops for CAD and Arduino. Networked with industry experts and invited them for guest lectures

Undergraduate Student Researcher
University of Minnesota, Twin Cities

• Analyzed electroencephalography (EEG) data relating mind-body awareness training to brain-computer interface (BCI) performance
• Significantly improved sensorimotor BCI performance of a commercially available EEG headset
• Worked with stroke patients, conducting experiments on the effects of rTMS and BCI on stroke rehabilitation
• Implemented a robotic arm for BCI control in 3D space
• Familiar with multiple noninvasive recording and neurostimulation modalities

Education

Sept. 2015 - May 2020

Sept. 2011 - May 2015

Ph.D. in Bioengineering
Joint Ph.D. Program at UC Berkeley and UCSF
Adivsor: Jose M. Carmena

• National Science Foundation Graduate Research Fellow
• Outstanding Graduate Student Instructor Award

B.S. in Biomedical Engineering | Minor in Management
University of Minnesota, Twin Cities
Advisor: Bin He

• Frank Louk Scholarship
• Lee S. Whitson Scholarship
• VentureWell (NCIIA) E-team Competition Stage I Funding
• Carlson School of Management Biz Pitch Contest 2nd Place
• U of MN IEM Conference and Retreat Poster Award 2nd Place

Publications

• ​You, Albert K., et al. "Flexible modulation of neural variance facilitates abstract skill learning." submitted.
• Zippi, Ellen L.*, Albert K. You*, and Jose M. Carmena. "Emergence of distinct coordinated patterns in subpopulations within motor cortex." in preparation.
• Liu, Bing*, Albert K. You*, Amy Orsborn, and Jose M. Carmena. "The rate of neuroprosthetic learning is invariant to initial levels of closed-loop decoder adaptation" in preparation.
• You, Albert K., et al. "Flexible modulation of neural variance facilitates neuroprosthetic skill learning." bioRxiv (2019): 817346.
• You, Albert K., Ellen L. Zippi, and Jose M. Carmena. "Large-Scale Neural Consolidation in BMI Learning." 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2019.
• You, Albert K., et al. "Neural Correlates of Control of a Kinematically Redundant Brain-Machine Interface." 2019 9th International IEEE/ EMBS Conference on Neural Engineering (NER). IEEE, 2019.
• Cassady, Kaitlin, Albert K. You, et al. "The impact of mind-body awareness training on the early learning of a brain-computer interface." Technology 2.03 (2014): 254-260.

Conferences and Talks

• You, Albert K. "Flexible Modulation of Neural Variance Facilitates Neuroprosthetic Skill Learning." 2019 Annual CNEP Conference. 5 December 2019.
• Albert You, Bing Liu, Abhimanyu Singhal, Suraj Gowda, Helene Moorman, Amy Orsborn, Jose M. Carmena. "Simultaneous exploration and exploitation of neural strategies during neuroprosthetic learning" SfN 2019.
• Albert You*, Ellen L. Zippi, Jose M. Carmena. "Large-Scale Neural Consolidation in BMI Learning" NER 2019.
• Albert You, Abhimanyu Singhal, Bing Liu, Suraj Gowda, Helene Moorman, Amy Orsborn, Jose M. Carmena. "Neural Correlates of Control of a Kinematically Redundant Brain-Machine Interface" NER 2019.
• Albert You, Vivek Athalye, Suraj Gowda, Helene Moorman, Jose M. Carmena. “Neural control strategies of a kinematically redundant brain-machine interface” SfN 2018.
• William Liberti III, Xue Gong, Albert You, Tom Roseberry, Nuria Llopis, Rui M Costa, Jose M Carmena “Local network coordination supports neurprosthetic control” SfN 2018.
• Albert You, Vivek Athalye, Preeya Khanna, Suraj Gowda, Helene Moorman, Jose M Carmena. “Neural correlates of control of a kinematically redundant brain-machine interface” SfN 2017.
• Nessa Johnson, Albert You, James Carey, Ann van de Winckel, Andrew Grande, Bin He. “Improving Motor Recovery after Stroke by Combined Rtms and BCI Training” EMBC 2016.
• Albert You, Bin He. “Development of a low-cost BCI solution using the Emotiv platform.” IEM Retreat and Conference 2014.
• Abhrajeet Roy, Bryan Baxter, Albert You, Bin He. “High Definition Transcranial Direct Current Stimulation Modulates Event Related Cortical Synchronization During Mental Imagery: Evidence from Simultaneous tDCS-EEG.” EMBC 2014.
• Kaitlin Cassady, Albert You, Emal Alwis, Brad Edelman, Alex Doud, Arman Shahriar, Bin He. “Mind-Body Awareness Training in the Initial Learning of a Sensorimotor Based BrainComputer Interface.” SfN 2013.
• Kaitlin Cassady, Alexander Doud, Emal Alwis, Albert You, Arman Shahriar, Bin He. “Accelerating the Initial Learning of a Motor-Imagery Based Brain-Computer Interface through Mind-Body Awareness Training.” Conference on Neural Engineering 2013.