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Chuntao Dan, Phd Email & Phone Number

Senior Applied Scientist | AI and ML at Amazon
Location: Ashburn, Virginia, United States 9 work roles 3 schools
1 work email found @hhmi.org LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

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Role
Senior Applied Scientist | AI and ML
Location
Ashburn, Virginia, United States
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Chuntao Dan, Phd is listed as Senior Applied Scientist | AI and ML at Amazon, a with 734811 employees, based in Ashburn, Virginia, United States. AeroLeads shows a work email signal at hhmi.org and a matched LinkedIn profile for Chuntao Dan, Phd.

Chuntao Dan, Phd previously worked as Senior Scientist | AI, Neuroscience, High Performance Computing at Howard Hughes Medical Institute and Research Specialist | AI, Neuroscience, High Performance Computing, System Integration at Howard Hughes Medical Institute. Chuntao Dan, Phd holds Artificial Intelligence Professional Program from Stanford University School Of Engineering.

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About Chuntao Dan, Phd

Experienced machine learning practitioner and neuroscientist with 10+ years’ experience building machine intelligence to solve hard problems. Currently engineering AI systems to speed up and scale up scientific discovery. Created automated data acquisition and analysis pipelines that processed 1.8 billion data points and increased productivity by 80%. Leveraged multimodal AI models to accelerate data analysis and visualization, increasing processing efficiency by 50% and saving 20 hours weekly.Proficient in using Python, MATLAB, and LabVIEW for machine learning, automated instrument control and measurement, digital image processing, data analytics and visualization. Familiar with high performance computing using GPUs and cluster nodes. Achieved multiple milestones with cross-functional teams employing a variety of techniques and assays.EXAMPLE PROJECTS:1. Large Language Model In-context-learning and Fine-tuning: https://github.com/Positron00/llm_demo;2. FPGA on-chip Machine Vision: https://github.com/ChuntaoDan/FPGA_WingbeatAnalyzer;3. Data Processing and Visualization: https://bitbucket.org/ChuntaoDan/utilityrepo.SKILLS:Generative AI: Autoregressive Models (Transformer), Latent Variable Models (Variational Autoencoder), Normalizing Flow Models, Generative Adversarial Networks, Energy Based Models, Score Based Diffusion Models, Natural Language Processing and Understanding.Machine Learning: Deep Neural Network, Supervised Learning, Unsupervised Learning, Model Validation, Feature Engineering, Decision Tree, Ensemble Methods, Gradient Boost, Markov Decision Process, Reinforcement Learning, Bayesian Networks.Programming: Python (PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn), R, MATLAB, SQL, LabVIEW, HTML, Ruby, C#, Unity, LaTeX, Git, Docker.Cloud Computing: AWS (SageMaker, EC2, S3), Google Colab, Microsoft Azure, Apache Spark, HPC.Engineering: automated instrument control and measurement, real-time virtual reality sensory feedback, analog electronic circuit design and implementation. Neuroscience: multi-photon live imaging, electrophysiology, quantitative data analysis and visualization, automated multi-dimensional image processing, behavioral tracking.I'm always looking to grow my professional network. Feel free to connect via LinkedIn or DM on X: @ChuntaoDan.

Listed skills include Confocal Microscopy, Neuroscience, Molecular Cloning, Molecular Biology, and 23 others.

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Amazon
Amazon
Senior Applied Scientist | AI and ML
Seattle, WA, US
Website
Employees
734811
AeroLeads page
9 roles

Chuntao Dan, Phd work experience

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Senior Applied Scientist | Ai And Ml

Seattle, Wa, Us

Senior Scientist | Ai, Neuroscience, High Performance Computing

Current

Janelia Research Campus

Employed advanced statistical and machine learning methods to analyze and visualize multidimensional signals of over 1.8 billion data points; identified key trends in behavioral and physiological patterns that led to significant mechanistic insights.Implemented generative and reinforcement learning algorithms for behavioral modeling, improving prediction accuracy by 40% and identifying 4 major drivers impacting behavior.Spearheaded collaboration with 5 cross-functional teams on large scale initiatives, achieving 3 key milestones ahead of schedule and enhancing data acquisition efficiency by 30%.Supervised 5 research technicians in developing protocols and troubleshooting techniques, leading to increased data collection efficiency by 30% during critical project phases.

Sep 2019 - Present

Research Specialist | Ai, Neuroscience, High Performance Computing, System Integration

Janelia Farm Research Campus, Ashburn, Va

Orchestrated automated instrument control and data acquisition across 5 systems, enabling 0-to-1 data acquisition pipelines and increasing productivity by 80%.Created a data processing pipeline for datasets exceeding 20TB annually; reduced processing time and increased efficiency by 80%.Developed innovative algorithms for on-chip FPGA machine vision tasks; capable of extracting object features within 245 microseconds from mega-pixel images streamed at 133 Hz and enabling ultra-low latency closed-loop sensory feedback in virtual reality.

Jun 2011 - Aug 2019

Staff Scientist | Neuroscience, Machine Vision, Automated Behavior Tracking

Cambridge, Ma

Designed automated tracking algorithms to process 500+ behavior videos and saving 80 hours per month. Streamlined the video collection and image analysis pipelines, achieving an efficiency boost of 90%.

Mar 2011 - Jun 2011

Research Associate | Neuroscience, Automated Data Processing

Cambridge, Ma

Pioneered high-throughput analysis of 500+ multidimensional datasets, increasing processing efficiency by 75%, saving 30 hours per week. Extracted key physiological features from 10TB of data and shortened the analysis timeline from 2 years to 3 months.

Sep 2008 - Feb 2011

Postdoctoral Fellow | Neuroscience, Behavioral Screening, Physiological Recording, System Design

Cambridge, Ma

Constructed a long-term two-photon brain imaging setup with computer-controlled stimulation and training for 100+ episodes per month.Engineered a computerized training apparatus, enabling 500+ trials per month, reducing operational errors by 50% and shortening timeline by 70%.

Mar 2003 - Aug 2008

Postdoctoral Research Scientist | Molecular And Cellular Neuroscience, Cloning, Electrophysiology

Led a molecular and cellular study of long-term memory formation; cloned and analyzed 3 essential genes required for neural plasticity.

May 2002 - Feb 2003

Graduate Research Assistant | Cell Signaling And Morphology, Cloning, Fluorescence Microscopy

Conducted research on human p21-activated kinases (PAKs) and their roles in the regulation of cytoskeleton and neuronal morphogenesis. Identified a novel signaling pathway. Cloned a novel PAK family gene implicated in cancer cell migration, development, and a potential novel therapeutic target.

Feb 1997 - May 2002
Team & coworkers

Colleagues at Amazon

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3 education records

Chuntao Dan, Phd education

Artificial Intelligence Professional Program

This program provides rigorous coverage of the most important topics in modern artificial intelligence, including: Machine Learning Deep.

Ph.D., Biological Sciences

Activities and Societies: Sigma Xi, the Scientific Research Honor SocietyAdvisor: Audrey G. Minden Regulation of actin cytoskeleton.

FAQ

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What company does Chuntao Dan, Phd work for?

Chuntao Dan, Phd works for Amazon.

What is Chuntao Dan, Phd's role at Amazon?

Chuntao Dan, Phd is listed as Senior Applied Scientist | AI and ML at Amazon.

What is Chuntao Dan, Phd's email address?

AeroLeads has found 1 work email signal at @hhmi.org for Chuntao Dan, Phd at Amazon.

Where is Chuntao Dan, Phd based?

Chuntao Dan, Phd is based in Ashburn, Virginia, United States while working with Amazon.

What companies has Chuntao Dan, Phd worked for?

Chuntao Dan, Phd has worked for Amazon, Howard Hughes Medical Institute, Harvard University, Cold Spring Harbor Laboratory Neural Imaging Summer Course, and Columbia University.

Who are Chuntao Dan, Phd's colleagues at Amazon?

Chuntao Dan, Phd's colleagues at Amazon include Akshay Chakravarhty, Johan Bloom, Motomi M Keeling, Amer Alosman, and Jennifer Z.

How can I contact Chuntao Dan, Phd?

You can use AeroLeads to view verified contact signals for Chuntao Dan, Phd at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Chuntao Dan, Phd attend?

Chuntao Dan, Phd holds Artificial Intelligence Professional Program from Stanford University School Of Engineering.

What skills is Chuntao Dan, Phd known for?

Chuntao Dan, Phd is listed with skills including Confocal Microscopy, Neuroscience, Molecular Cloning, Molecular Biology, Genetics, Fluorescence Microscopy, Cell Biology, and Electrophysiology.

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