Weiqing Wang, PhD, CFA

Address: ** ******** *****, *******, ** 11102 Email: ad3jyh@r.postjobfree.com Mobile: 845-***-**** EDUCATION

Ph.D. Computational Biology, Icahn School of Medicine at Mount Sinai, New York, NY 2014 – 2020

• Accomplishment: Poster finalist for World Congress of Psychiatric Genetics (2018), Academic talk at World Congress of Psychiatric Genetics (2019)

B.A. Biology, Bard College, Annandale-on-Hudson, NY 2009 – 2013

• Academic performance: GPA: 3.84/4.0, GRE: 1600/1600

• Accomplishment: Bard Foreign Scholarship, Distinguished Scientist Scholar, Harry J. Carman Scholarship for Academic Excellence

EXPERIENCE

Actinium Pharmaceuticals, Inc. New York, NY

Associate, Corporate Finance and Data Analytics 2021.06 – Present

• Develop revenue and COGS forecast models and build risk-adjusted NPV models in excel

• Build machine learning models to predict patient dosimetry based on patient clinical data

• Provide data analysis and visualization capability (analyze claims data and make geomaps) for commercialization efforts using Python and related packages;

• Search and evaluate potential cell surface tumor targets through literature research and big data analysis using Python and related bioinformatics tools

• Perform due diligence and competitive intelligence analysis on peer radiopharmaceutical companies

• Identify potential in-licensing targets from biotech companies with negative enterprise values Eli Stahl Lab, Icahn School of Medicine at Mount Sinai New York, NY Graduate Student 2016.7 – 2020.10

• Preprocessed and performed quality control of exome sequencing data of 1,000 bipolar patients

• Built logistic regression models to assess genetic burdens of the patients and found that bipolar patients have significantly more deleterious rare variants than the controls The Solution Lab, Inc New York, NY

Part-time equity research associate 2020.1 – 2020.3

• Read 10+ scientific literatures and prepared 6-page scientific writings on gene therapy methods, with writings later internally published in the investment bank

• Summarized company pipelines, business strategies and research results for four gene therapy companies Bootcamp in FinTech, Columbia University New York, NY Student 2019.8 – 2020.2

• A 24-week intensive program focused on data visualization, machine learning and blockchain using python

• Led a project on building a machine learning model to identify stocks that outperform the market; stocks selected by our model outperformed S&P500 index by 25% over the past five years The Data Incubator New York, NY

Data Science Fellow 2020.9 – 2020.11

• An intensive data science training program with an acceptance rate of 3%

• Weekly projects: identified popular celebrities by scraping more than 1,200 webpages from New York Social Diary website and constructed social network using NetworkX; predicted Yelp ratings with features extracted from 30,000 Yelp reviews using scikit-learn; analyzed more than 500,000 records of restaurant inspection data using SQL; analyzed Stack Exchange data using PySpark

• Capstone project: compared beauty products’ ingredients using PCA and cosine similarity; built a web application visualizing the data using Altair, HTML, JavaScript and Flask SKILLS

Financial Analysis: CFA Level 3 passed, financial modeling, Factset, Capital IQ Programming: R, Python, unix, AWK, SQL, JavaScript, CSS, HTML Statistical Analysis: logistic/linear regression, machine learning, deep learning Other: API, GitHub, Microsoft Excel, VBA

LEADERSHIP

President of CSSA (Chinese Student and Scholar Association) 2016 – 2020

• Organized 5 popular campus-wide cultural events with attendance of 400+ people

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