Li S.

Data Scientist at Alto Neuroscience
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Contact Information
us****@****om
(386) 825-5501
Location
San Francisco Bay Area
Languages
  • Chinese Native or bilingual proficiency
  • English Professional working proficiency

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Credentials

  • Deep Learning Engineer
    Workera.ai
    Sep, 2021
    - Nov, 2024
  • Deep Learning Specialization
    Coursera
    Nov, 2020
    - Nov, 2024
  • Sequence Models
    Coursera
    Nov, 2020
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera
    Oct, 2020
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Sep, 2020
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Sep, 2020
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Apr, 2020
    - Nov, 2024
  • Spatial Data Science: The New Frontier in Analytics
    Esri
    Apr, 2020
    - Nov, 2024

Experience

  • Alto Neuroscience
    • United States
    • Biotechnology
    • 1 - 100 Employee
    • Data Scientist
      • Nov 2021 - Present

      Develop machine learning models to match the right patient with the right drug. Develop machine learning models to match the right patient with the right drug.

  • Keck School of Medicine of the University of Southern California
    • United States
    • Higher Education
    • 700 & Above Employee
    • Postdoctoral Scholar - Research Associate
      • Mar 2017 - Nov 2021

      - Built electrophysiology recording system, including data acquisition with Optrode, DAQ card, or Open Ephys, hardware programming with Labview, spike sorting and data analysis using Matlab and Python. - Developed multiple automatic behavioral assay apparatus, including self-stimulation behavior setup, real-time closed-loop behavior control toolbox with video-based animal tracking, licking detection using Python and C++/Arduino, virtual reality behavior test setup, etc. - Utilizing this… Show more - Built electrophysiology recording system, including data acquisition with Optrode, DAQ card, or Open Ephys, hardware programming with Labview, spike sorting and data analysis using Matlab and Python. - Developed multiple automatic behavioral assay apparatus, including self-stimulation behavior setup, real-time closed-loop behavior control toolbox with video-based animal tracking, licking detection using Python and C++/Arduino, virtual reality behavior test setup, etc. - Utilizing this platform, automatic behavior setup and optogenetic/chemogenetic manipulation to study sensory and emotion related neural circuits, results were published in top tier journals (Nature Neuroscience, Neuron etc) Show less - Built electrophysiology recording system, including data acquisition with Optrode, DAQ card, or Open Ephys, hardware programming with Labview, spike sorting and data analysis using Matlab and Python. - Developed multiple automatic behavioral assay apparatus, including self-stimulation behavior setup, real-time closed-loop behavior control toolbox with video-based animal tracking, licking detection using Python and C++/Arduino, virtual reality behavior test setup, etc. - Utilizing this… Show more - Built electrophysiology recording system, including data acquisition with Optrode, DAQ card, or Open Ephys, hardware programming with Labview, spike sorting and data analysis using Matlab and Python. - Developed multiple automatic behavioral assay apparatus, including self-stimulation behavior setup, real-time closed-loop behavior control toolbox with video-based animal tracking, licking detection using Python and C++/Arduino, virtual reality behavior test setup, etc. - Utilizing this platform, automatic behavior setup and optogenetic/chemogenetic manipulation to study sensory and emotion related neural circuits, results were published in top tier journals (Nature Neuroscience, Neuron etc) Show less

  • Tsinghua University
    • China
    • Higher Education
    • 700 & Above Employee
    • Graduate Research Assistant
      • Sep 2010 - Jan 2017

      - Trained a neural network model on real brain activity data to simulate the neuronal architecture for novel sound processing. Publication was highlighted in The Oxford Handbook of the Auditory Brainstem. - Built a neural-based mechanistic model for Stimulus-Specific Adaptation for auditory processing. (Cooperated with New York University). - Applying in vivo recording and system identification methods, depicted spectro-temporal receptive field of auditory midbrain and revealed the… Show more - Trained a neural network model on real brain activity data to simulate the neuronal architecture for novel sound processing. Publication was highlighted in The Oxford Handbook of the Auditory Brainstem. - Built a neural-based mechanistic model for Stimulus-Specific Adaptation for auditory processing. (Cooperated with New York University). - Applying in vivo recording and system identification methods, depicted spectro-temporal receptive field of auditory midbrain and revealed the hierarchical representation for the natural sound statistics. Using local neuronal correlation to study the functional connectivity of neighboring neurons in auditory midbrain. - Brain-Computer Interface(BCI) controlled smart home wireless network based on Zigbee protocol. Electronic circuit design, Micro-controller programming with C, GUI design with MATLAB

    • Graduate Teaching Assistant
      • Sep 2011 - Jan 2012

      - Teaching assistant for the course "Biomedical Measurements." - Assisted in designing and evaluating the biomedical measurement experiments and course projects, tutoring the experiments, evaluating assignments, answering the questions, debugging the experiment problems, communicating with the student, and providing feedback to the instructors.

  • University of Hamburg
    • Germany
    • Research Services
    • 700 & Above Employee
    • Visiting Graduate Research Assistant
      • Jun 2012 - Dec 2012

      - Involved in Cross-modal Interactions in Natural And Cognitive Systems (CINACS) International Graduate Research Group. - Performed multiple sites in vivo simultaneously recording to study auditory and visual cross-modal processing - Involved in Cross-modal Interactions in Natural And Cognitive Systems (CINACS) International Graduate Research Group. - Performed multiple sites in vivo simultaneously recording to study auditory and visual cross-modal processing

  • The Johns Hopkins University
    • United States
    • Higher Education
    • 700 & Above Employee
    • Visiting Undergraduate Student
      • Jul 2009 - Sep 2009

      - Sponsored by the Tsinghua-Johns Hopkins joint center for biomedical engineering research. - Designed and performed the psychophysical experiments on human subjects and mathematical modeling of self-generated sound perception - Sponsored by the Tsinghua-Johns Hopkins joint center for biomedical engineering research. - Designed and performed the psychophysical experiments on human subjects and mathematical modeling of self-generated sound perception

Education

  • Tsinghua University
    Doctor of Philosophy (Ph.D.), Biomedical Engineering
    2010 - 2017
  • Tsinghua University
    Bachelor of Engineering (B.Eng.), Biomedical Engineering
    2006 - 2010

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