Allison Chia-Yi Wu (吳家宜) Email and Phone Number
San Diego, CA, US
Allison Chia-Yi Wu (吳家宜)'s Location
San Diego, California, United States, United States
Allison Chia-Yi Wu (吳家宜)'s Contact Details
Allison Chia-Yi Wu (吳家宜) work email
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About Allison Chia-Yi Wu (吳家宜)
As a data science and bioinformatics leader passionate about making societal impacts, I have dedicated my career to using data to drive meaningful change. My work at Juno Diagnostics and ResMed underscored the transformative power of data in healthcare, particularly in advancing health equity and enhancing patient care.A pivotal moment in my journey was participating in Terra.do's LFA program, which directed my expertise in AI/ML towards the critical field of Climate and Sustainability Tech. Now, as the founder of TerraMinds.ai, I am working as a fractional AI/ML tech lead for early-stage start-ups in biotech, healthcare, and climate tech, empowering them with innovative AI/ML solutions. This new chapter blends my experience and passion for technology with a commitment to creating a more sustainable future.I am eager to collaborate with professionals who share a vision of leveraging data-driven innovation for a better world. Let's connect to explore opportunities for impactful collaboration in climate and sustainability.I am eager to collaborate with professionals who share a vision of leveraging data-driven innovation for a better world. Let's connect to explore opportunities for impactful collaboration in the realm of climate and sustainability.
Allison Chia-Yi Wu (吳家宜)'s Current Company Details
Allison Chia-Yi Wu (吳家宜) Work Experience Details
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Vp Of Data ScienceNucleix Ltd.San Diego, Ca, Us
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Ai/Ml ConsultantTerraminds.Ai Dec 2023 - Present- Senior AI leadership specialized for start-ups in climate tech, biotech and healthcare.- Deliver short-term (<6 months) end-to-end production level AI/ML solutions from algorithm development to production deployment- Consult on MLOps architecture, AI/ML strategic roadmapping and project scoping, data analytics -
Faculty LecturerUniversity Of California, San Diego - Rady School Of Management Apr 2024 - PresentLa Jolla, Ca, Us- Supervised MSBA (Master of Business Analytics) Capstone Project, providing guidance and expertise to ensure successful project completion.- Instructed MSBA students in MGTA 415 (Summer 2024) on utilizing NLP and large language models (LLMs) for processing unstructured text data, enhancing predictive analytics and day-to-day productivity. -
Fractional Ai Tech LeadContext Nature Public Benefit Corporation Dec 2023 - PresentRedmond, Wa, Us- Led the development and execution of the AI strategy and AI initiatives, driving innovation and growth.- Utilized state-of-the-art large language models (LLM) and generative AI frameworks for nature-based compliance reporting, enhancing accuracy and efficiency.- Supervised and mentored junior analysts in software engineering and machine learning development, ensuring high-quality deliverables and professional growth. -
Fractional Head Of Data ScienceNucleix Ltd. Jan 2024 - PresentRehovot, Merkaz, Il- Led the transformation of the analytics team into a highly collaborative data science team capable of training and deploying production-level machine learning models at scale.- Introduced and implemented modern bioinformatics and data science best practices, including Git, Docker, and Nextflow, for scalable and collaborative development.- Directed the machine learning model training for the Lung EpiCheck project, enhancing predictive accuracy and performance.- Established and fostered collaboration with the assay development team to drive data-driven assay development, improving research outcomes.
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Head Of Data Science And BioinformaticsJuno Diagnostics Dec 2022 - Aug 2023San Diego, Ca, Us- Led the implementation of automated pipelines and continuous algorithm improvements, resulting in significant cost and performance enhancements after product launch.- Successfully processed and reported out 5000+ samples in 8 months with exceptional accuracy and minimal pipeline errors, demonstrating operational efficiency and data reliability.- Enabled data visibility across the organization by architecting a centralized data lake with Snowflake, seamlessly combining data from multiple platforms. This empowered data-driven decision-making and fast strategic responses.- Optimized the ETL pipeline to Snowflake, achieving a remarkable 60% cost reduction, further demonstrating our expertise in driving cost-effective data operations.- Streamlined the bioinformatics pipeline and AWS S3 storage, leading to a 25% reduction in AWS costs while supporting a remarkable 20% month-to-month sample volume growth. -
Lead Data ScientistJuno Diagnostics Sep 2021 - Dec 2022San Diego, Ca, Us- Successfully built a high-performing 6-person team from scratch, recruiting and leading top talent in data science and bioinformatics.- Spearheaded the productionization of bioinformatics/ML pipelines for three product launches: fetal gender and two NIPS products in 2022, ensuring timely and accurate deliverables.- Developed novel bioinformatics and ML algorithms for at-home collections, NIPS anomaly calling, etc., contributing to the organization's innovation and technical excellence.- Established a robust MLops infrastructure, enabling model monitoring, reproducible ML models, and streamlined model development and deployment, ensuring efficiency and reliability throughout the production lifecycle.- Implemented AWS Batch, Lambda, and Step Functions, creating an entirely serverless pipeline that optimized efficiency and scalability while reducing operational overhead.- Utilized AWS CloudFormation to enforce infrastructure as code practices, ensuring consistent and reproducible deployments.
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Data Scientist VolunteerDatakind Sf/Bay Area Feb 2021 - Aug 2021- Provided recommendations on suitable data strategies, team structures, data systems for non-profit organizations such as myCOVIDMD, as a data advisor. -
Senior Data ScientistResmed Nov 2020 - Aug 2021San Diego, Ca, Us- Applied deep learning NLP algorithms to detect emerging topics and issues in customer reviews, resulting in improved customer insights and proactive response strategies.- Developed a real-time web application with Dash to monitor and track NLP results, enabling data-driven decision-making and quick action on emerging trends.- Designed and implemented a multi-layer machine learning algorithm to optimize HME (Home Medical Equipment) decision-making, leading to increased compliance rates and substantial cost savings.- Contributed actively to shared libraries for machine learning, streamlining the production ML pipeline development process and enhancing feature engineering capabilities.- Spearheaded the development of a production ML pipeline platform using AWS (SageMaker, Lambda, EC2, etc.), Docker, open-source Spark, and MLflow, ensuring scalable and efficient data processing and model deployment. -
Staff Scientist, Data SciencesThermo Fisher Scientific Oct 2020 - Nov 2020Waltham, Ma, Us -
Global Lead, Thermo Fisher Data Science Innovation Lab (Business Resource Group)Thermo Fisher Scientific Jul 2019 - Nov 2020Waltham, Ma, UsGlobal co-lead for Data Science Innovation Lab, a business resource group that aims to promote the cross-functional collaboration to drive innovative business values globally within the data science field in Thermo Fisher.
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Data Scientist, Corporate Data Science / Intelligence GenerationThermo Fisher Scientific Oct 2018 - Oct 2020Waltham, Ma, Us- Created best practices for end-to-end productionized machine learning pipelines and an ML model management platform, ensuring streamlined and efficient model deployment and monitoring.- Developed a machine learning model to predict customer buying behaviors based on views and sales history, providing valuable insights for marketing and sales strategies.- Led a 3-person agile team for the Product Interaction Network project, utilizing network/graph analysis and NLP techniques. The project increased product context annotation by an impressive 37%, enhancing understanding of interactions among >200,000 active products.
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Pricing AnalystThermo Fisher Scientific Sep 2017 - Sep 2018Waltham, Ma, Us- Provided strategic pricing support to multiple business segments within the Life Science Group (LSG) at Thermo Fisher Scientific, driving data-driven pricing strategies for impactful projects.- Developed novel machine learning algorithms and statistical models for data-driven pricing strategies, including global list price recommendations across the whole LSG portfolio, resulting in a remarkable $80 million impact.- Specialized in machine learning models and demonstrated proficiency in multiple machine learning libraries in R and Python.
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Bioinformatics ContractorThermo Fisher Scientific Apr 2017 - Jul 2017Waltham, Ma, Us- Collaborated globally to design disease-associated AmpliSeq sequencing panels, including the successful launch of AmpliSeq.com On-Demand.- Utilized multiple disease-related databases, such as UMLS, MeSH, ClinVar, and DisGeNet, to investigate gene-disease associations and support research initiatives.- Gained expertise in working with a disease-gene-association graph database using NoSQL, further strengthening the data analysis capabilities.
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Chief Scientific OfficerCenezyme Sep 2015 - Mar 2017- Managed a high-performing 5-person research group, overseeing sequencing analysis, cell, and biochemical studies for pre-clinical drug discovery. Led the team to achieve research milestones and deliver valuable insights.- Developed a cutting-edge aptamer selection platform and cancer therapeutics screening platform using next-generation sequencing methods, contributing to novel approaches in drug discovery and development. -
Graduate ResearcherUniversity Of California, San Diego Sep 2009 - Jun 2015La Jolla, Ca, UsWorked as a graduate student in Scott Rifkin Lab.- Thesis: Dissecting the Worm Intestinal Genetic Network with Quantitative Measurement and Modeling - Expert in the automation and collection of fluorescent microscopy data. - Developed a Random Forests-based imaging analysis software for single-molecule FISH data analysis in MATLAB. - Implemented a mathematical model to model gene expression dynamics in C. elegans intestinal development network. -
Short-Term Research FellowUniversité Laval Aug 2011 - Nov 2011Québec, Qc, CaWorked in Christian Landry Lab.- Studied the genetic architechture of network dynamics in S. cerevisiae- Learned the basic yeast genetics and molecular technique.- Learned the technique of Protein-fragment Complement Assay. -
Undergraduate Research AssistantNational Taiwan University Sep 2006 - May 2009Taipei, Northern Taiwan, TwWorked in NTU Systems Biology Lab with Hsueh-Fen Juan as the major adviser.- Secured and executed R.O.C. National Science Council Grant, “Relationships of miRNA and their Target Genes in ER+/ER- Breast Cancer Cells”, an 8-month study with a total of NTD 47,000 in funding.- Applied protein-protein interaction network to microarray data of dilated cardiomyopathy (DCM) and normal tissues to study the cause of heart failure, in collaboration with the Computational Systems Biology Laboratory of Yang-Ming University.
Allison Chia-Yi Wu (吳家宜) Skills
Bioinformatics
Cell Biology
Matlab
Machine Learning
Statistical Data Analysis
Fluorescence Microscopy
Microscopy
Imaging Analysis
Systems Biology
Python
Dynamic Modeling
R
Statistics
Synthetic Biology
Genetics
Molecular Cloning
Molecular Biology
Cell Culture
Life Sciences
Pcr
Biochemistry
Science
Polymerase Chain Reaction
Data Analysis
Nosql
Graph Databases
Data Science
Biotechnology
Drug Discovery
Algorithms
Genomics
Pricing Strategy
Business Development
Business Process Improvement
Statistical Modeling
Microsoft Sql Server
Transact Sql
Sql
Scala
Databricks
Pyspark
Pricing Optimization
Dna Sequencing
Big Data Analytics
Strategic Data
Computational Biology
Sequencing
Pricing Analysis
Olap
Relational
Statistical Programming
Allison Chia-Yi Wu (吳家宜) Education Details
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Terra.DoLearning For Action Elephant Cohort -
Uc San DiegoBioinformatics And Systems Biology
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National Taiwan UniversityLife Science
Frequently Asked Questions about Allison Chia-Yi Wu (吳家宜)
What company does Allison Chia-Yi Wu (吳家宜) work for?
Allison Chia-Yi Wu (吳家宜) works for Nucleix Ltd.
What is Allison Chia-Yi Wu (吳家宜)'s role at the current company?
Allison Chia-Yi Wu (吳家宜)'s current role is VP of Data Science.
What is Allison Chia-Yi Wu (吳家宜)'s email address?
Allison Chia-Yi Wu (吳家宜)'s email address is al****@****odx.com
What is Allison Chia-Yi Wu (吳家宜)'s direct phone number?
Allison Chia-Yi Wu (吳家宜)'s direct phone number is +185834*****
What schools did Allison Chia-Yi Wu (吳家宜) attend?
Allison Chia-Yi Wu (吳家宜) attended Terra.do, Uc San Diego, National Taiwan University.
What are some of Allison Chia-Yi Wu (吳家宜)'s interests?
Allison Chia-Yi Wu (吳家宜) has interest in Coal And Barrel, Royal Liquors, Be The Match, Ivy Lab, 洪慈庸, Pluus, The Deep End, Mexican Restaurant, Inc, The Carver.
What skills is Allison Chia-Yi Wu (吳家宜) known for?
Allison Chia-Yi Wu (吳家宜) has skills like Bioinformatics, Cell Biology, Matlab, Machine Learning, Statistical Data Analysis, Fluorescence Microscopy, Microscopy, Imaging Analysis, Systems Biology, Python, Dynamic Modeling, R.
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