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Ying Jiang is listed as Data Science Manager at Datavant at Datavant, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at statestitle.com and a matched LinkedIn profile for Ying Jiang.
Ying Jiang previously worked as Data Science Manager at Datavant and Data Science Manager at Apixio. Ying Jiang holds Doctor Of Philosophy (Ph.D.), Chemical Engineering from Stanford University.
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AeroLeads found 1 current-domain work email signal for Ying Jiang. Compare company email patterns before reaching out.
I deeply believe in working with masterful, purposeful professionals as a team to exact impacts and transform lives through deriving insights from data, and organizing the knowledge of the world.
Listed skills include R, Statistics, Statistical Data Analysis, Machine Learning, and 18 others.
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A career timeline built from the work history available for this profile.
Phoenix, Arizona, US
Apixio is now Datavant! Continuing to lead an amazing team to demonstrate value-add by building multimodal models that enrich the understanding of a clinical document on the structural, intent and entity levels.
San Mateo, California, US
Leading a document intelligence team to extract structural and entities insights from tens of millions of clinical documents flowing through Apixio's AI engine. Productionizing clinical explainability that supports use cases for various stakeholders in the healthcare ecosystem.
Palo Alto, California, US
AI Camp teaches mid and high school students about AI through project-based learning and collaborative learning. In three weeks, our students make real AI products people can use. Check out our emotion detector by our students at emotion.ai-camp.org.More importantly, we teach our students how to make informed career decisions, how to learn, and other.
San Francisco, CA, US
Led the annotation of relevant domain entities from internal text data to form a real-estate and title-escrow entity knowledge graph from scratch
San Francisco, CA, US
Bring data-driven insights and machine intelligence to real-estate-financial closing processes, to make them satisfying and painless.
- ETL and insight engineering of complex, multi-source manufacturing time series data, creating end-to-end high-fidelity record for monitoring, analysis and model-building- Engineering anomaly detection Python package for incident management leveraging on the Elastic cloud infrastructure- Exploration of more complex sequence models in multivariate time.
Solving problems, helping human operators, transforming traditional industries by diving into real-time data.
Kista, Stockholm, SE
I led a team of engineers and data scientists, and we built an anomaly detection application for our client. Out team built the data pipeline using Elastic framework and used Kibana to visualize IT operations data.We also built federated-learning algorithms from neural networks and XGBoost trees. We implemented MCP security pipeline on these algorithms to.
Singapore, SG
Played a transformative role in modernizing R&D workforce by- Establishing deployment and development policies and processes for short term and long term research scientists and technicians- Constructing skills and training database- Designing training contents for managerial coaching and mentorship skills- Influenced leadership and culture for R&D and.
Singapore, SG
- Organized and facilitated events for organization development and culture embetterment- Coordinated staff training and development- Developed surveys for staff and student engagement and feedback- Managed IMRE science communication in annual national science outreach events
Singapore, SG
Conducted independent investigation and supervised students- Functionalised Surface Acoustic Wave sensors for influenza antigen detection (PCT patent PCT/SG2014/000588 - A Surface Acoustic Wave Sensor for Influenza Detection; Media coverage - http://goo.gl/q2s2US)- Independently investigated luminescent polymer-transition metal macromolecular complexes for.
Stanford, CA, US
- Independently designed novel fused-acene type conjugated polymers- Analyzed and progressively improved molecular properties such as absorption and charge transport- Analyzed polymer photovoltaic device performance data- Representative publication: (1) DOI 10.1039/C2CC32473C - 5,11-Conjugation-extended low-bandgap anthradithiophene-containing polymer.
Studied polymerization kinetics with Raman Spectroscopy
Quick answers generated from the profile data available on this page.
Ying Jiang works for Datavant.
Ying Jiang is listed as Data Science Manager at Datavant at Datavant.
AeroLeads has found 1 work email signal at @statestitle.com for Ying Jiang at Datavant.
Ying Jiang is based in San Francisco Bay Area, United States, United States while working with Datavant.
Ying Jiang has worked for Datavant, Apixio, Ai Camp, Doma, and Albeado.
You can use AeroLeads to view verified contact signals for Ying Jiang at Datavant, including work email, phone, and LinkedIn data when available.
Ying Jiang holds Doctor Of Philosophy (Ph.D.), Chemical Engineering from Stanford University.
Ying Jiang is listed with skills including R, Statistics, Statistical Data Analysis, Machine Learning, Materials Science, Characterization, Thin Films, and Polymer Chemistry.
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