Jian Wang

Address: *** ******** ***.,*********, ** Cell: 850-***-**** Email: ad3rch@r.postjobfree.com Linkedin: https://www.linkedin.com/in/jian-wang-9b476617/ Visa Status: O1 Visa and EB1A I140 approved PROFILE

Seeking a full-time machine learning engineer/scientist position. Math Ph.D. oriented in machine learning with strong programming, statistical, and analytical skills. Published several papers varying from theoretical research to modeling practice.

• Programming: C++, C, Javascript, Java, Python, Matlab, VBA, R, SQL, Scala, Spark, React, HTML/CSS, Docker, Git.

• Computer Science: Data structures and algorithms; Object-oriented programming; Distributed systems design and development (MapReduce, Openmp, Cuda), Web Scraper.

• Statistics: Statistical inference, Linear model, Regularization, Clustering, Bayesian method, A/B test.

• ML/DL: Random forest, XGboost, Gradient descent, model ensemble, CNN, RNN, LSTM, LLaMA, Tensorflow, Pytorch. WORK EXPERIENCE

Senior Machine Learning Engineer, CLOUDMEDX, Palo Alto Oct. 2019 - Current

• Designed and implemented AI applications using encoder-based Large Language Models (LLMs) like Clinical BERT, effectively training and fine-tuning for Named Entity Recognition (NER) within healthcare data, which led to accurate ICD-9 code extraction from patient notes.

• Developed a FastAPI backend paired with a React frontend, incorporating AWS DynamoDB for data storage and retrieval. Utilized OpenAI GPT to auto-generate Python functions from MIPS rule files, enabling real-time patient rule verification.

• Designed a React frontend and FastAPI backend to construct a chatbot utilizing OpenAI's GPT API. This chatbot efficiently schedules doctor appointments and can answer patient-specific questions like copays or patient’s functional scores based on integrated patient files.

• Built the susceptible-exposed-infected-recovered (SEIR) model via Python to predict the Covid-19 cases. Developed C19 Explorer platform and C19 Vaccine tool.

Machine Learning Engineer, BYTON(Unicorn intelligent car start-up), Santa Clara Sep. 2018 - Sep. 2019

• Built deep convolutional neural network to estimate age, gender, emotion of drivers and passengers

• Used detected features of customers in-camera as cold starts to build a news feed application Research assistant, Jinfeng Zhang statistical research lab, Tallahassee, FL Sep. 2017 - Sep. 2018

• Retrieved relevant articles of protein-protein interactions (PPI) from the BioGrid database via python language.

• Built neural network and boosting models to determine which sentences contain information about PPI and aim to find new interactive protein pairs

EDUCATION

Florida State University, Tallahassee, FL Sep. 2009 - Aug. 2017 MS and Ph.D. in financial mathematics oriented in statistics and machine learning Thesis: Ensemble methods for capturing dynamics of limit order books Advisor: Dr.Jinfeng Zhang (Statistics) and Dr. Giray Okten (Mathematics) Shanghai University, Shanghai, China Sep. 1998 - Aug. 2005 BS and MS in mathematics

Thesis: A risk analysis model in medical insurance PUBLICATION and AWARDS

• 1st place award in a nationwide competition called the "LitCoin Natural Language Processing Challenge," 2022

• Segmented Harmonic Loss: Handling Class-Imbalanced Multi-Label Clinical Data for Medical Coding with Large Language Models, Arxiv, 2023

• Pre-trained models, data augmentation, and ensemble learning for biomedical information extraction and document classification, journal of DATABASE, 2022

• Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach. BMC Genomics Journal,2020

• Mining protein interactions affected by mutations using an NLP based machine learning approach. The six Biocreative text mining workshop (published), 2017