Yan Mcgowan Email & Phone Number

Berkeley, Ca, Us

California, United States

St. Louis, Missouri, Us

St. Louis, Missouri, Us

St. Louis, Missouri, Us

Chicago, Us

• Determine lung cancer and nodule segmentation using CNN, RNN and GANs models with CT images (DICOM data)• Predict primary lung, kidney and skin cancer risk and using patients EHRs and demographic information • Collaborate with hospitals to predict toxicity for cancer drugs to help doctors determine personalized cancer treatments

San Francisco, Ca, Us

• Collaborate with a company to develop multi label diagnosis classification with important 13 ICD-10 code, 700+ symptoms and 1M health record for building AI personalized doctor system • Use problem transformation (One-vs-the-rest binary relevance method with logistics regression Bayesian Regression and random forest and classifier chain with logistics regression), adapted algorithm (MLKNN) and ensemble approach with random forest for multi label classification• Conduct PCA, factor analysis and Lasso on logistics regression to reduce features

Manhattan, Ks, Us

• Clean and process messy experimental and literature review data sets • Review government regulatory guidelines, including U.S Food and Drug Administration (FDA), Center for Veterinary Medicine (CVM), European Union agency (EMA), International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH), etc. • Conduct new statistical approaches to improve FDA and CVM methods for data below limit of quantitation • Build and develop physiologically based pharmacokinetic (PBPK) models for drug depletion research• Develop new statistical methods and models to establish withdrawal period• Write and validate SAS, R and Berkley Madonna code for data analysis and model development • Interpret and explain statistical results to non-statistician researchers and pharmacokinetics concept to statistician• Conduct statistical analysis report and publications for peer-review journal

Manhattan, Ks, Us

• Communicated with clients from diverse research areas• Worked over 100 projects• Designed experiments for clients to meet specific research objectives• Applied and conducted appropriate methods and models for specific data analyst, such as machine learning methods, linear prediction models, generalized liner mixed models, logistic regression, count data regression, multivariate analysis, time series analysis, spatial analysis, etc.• Wrote and validated SAS, R and Python code for data analysis and model development • Interpreted and explained statistical results to clients, their supervisors and other stakeholders • Mentored Statistics Consulting Lab students• Collaborated on research with other department, such as agriculture, food science, public health, veterinary medicine, biology, etc.

St. Louis, Missouri, Us

• Worked in Statistical Technology Center at the government affairs and regulatory department • Collaborated on research with the agronomy team • Built and developed model to meet research objectives with 10 countries, 5 years, 65 sites of maize data in SAS, R• Conducted multiple hypothesis tests to check GMO product conditions • Wrote publication with coworkers• Designed and shared project results in a poster at the summer internship poster session• Presented the summer project at department-wide seminar

Manhattan, Ks, Us

• Communicated and collaborated with finance department research team as part of a business class project• Ingested ,maintained and managed over 20 years historical market market, financial and economic data• Proposed appropriate statistical data analysis plans• Built and developed market forecasting model with historical market data in R and SAS• Built and developed financial profit prediction model with over 200 marketing, financial and economic variables in R and SAS• Compared model prediction accuracy with company’s existing model • Wrote business report to CFO and finance department managers about new models, key findings, market trends and strategic implications• Presented results with clear PowerPoint slides

Manhattan, Ks, Us

• Designed, monitored and collected survey research data • Used causal inference to analyze survey research and observational study data• Collected, cleaned, restructured and analyzed data sets with Python • Helped marketing department professors analyze marketing data using SAS • Created macro SAS/R code for analyzing big marketing datasets• Used Pajek and Tableau program to analyze and visualize large network data

Manhattan, Ks, Us

• Helped professor arrange, prepare and organize CBA actives

Manhattan, Ks, Us

• Worked as soil microbiology lab student assistant • Collected soil and plant measurements from agricultural field and lab experiments • Helped design experiments to conduct research on carbon and nitrogen analysis in soil• Consulted with graduate student researchers about statistical questions• Sampled, washed, dried and analyzed plants root samples • Collected gas samples from farm and analyzed using gas chromatography

Manhattan, Ks, Us

• Taught Stat 325 Introduction to Statistics• Helped teach Stat 510 Introductory Probability & Statistics when professor was absent • Assigned and graded homework, quizzes and exams• Answered students’ questions during office hours

Worldwide, Oo

• Received training on Deloite auditing system and audited for Cuiwei Department Store• Reviewed the audit report for Chinese Construction Trade• Organized an outreach activity and gave a presentation about the activity to the employees and employers

• Audited for YTO Group Corporation • Spot-checked vouchers and recorded inventory for YTO Group Finance Co., Ltd.

Doctor Of Philosophy (Ph.D.), Statistics

Master Of Business Administration (M.B.A.), Business Administration, Management And Operations

Master’S Degree, Statistics

Bachelor'S Degree, Economic Statistics