Allison Chia-Yi Wu (吳家宜) Email & Phone Number

San Diego, CA, US

- 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

La 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.

Redmond, 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.

Rehovot, 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.

San 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.

San 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.

- Provided recommendations on suitable data strategies, team structures, data systems for non-profit organizations such as myCOVIDMD, as a data advisor.

San 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.

Waltham, MA, US

Waltham, MA, US

Global 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.

Waltham, 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..

Waltham, 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.

Waltham, 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.

- 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.

La Jolla, CA, US

Worked 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.

Québec, Qc, CA

Worked 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.

Taipei, Northern Taiwan, TW

Worked 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.

Learning For Action Elephant Cohort

Doctor Of Philosophy (Ph.D.), Bioinformatics And Systems Biology

Bachelor'S Degree, Life Science