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Machine Learning Engineer at 3M HIS
Machine learning expert and data scientist on text mining, document classification, and medical coding (ICD-10); Bioinformatics scientist on protein structure simulation, algorithm development, scientific programming, and software design. Extensive experience on developing algorithms and applications in machine learning, bioinformatics, computational biology, and other data mining areas. Specialties: 1. Machine learning and natural language processing on biomedical domain. 2. Data mining on imbalanced data sets. 3. Big data platforms. 4. Supervised and unsupervised classification, predictive analysis. 5. UIMA, MapReduce, Hadoop. 6. Bioinformatics algorithm development and application implementation. 7. Ontologies, semantic web technologies, and text mining. 8. Biostatistics and data modeling.
Inner Mongolia University
B. S., Physics
N/A – Present
Jilin University
Ph. D; M. S, Physical Chemistry; Theoretical Chemistry
N/A – Present
3M Health Care
Machine Learning Engineer
May 1, 2013 – Present
Bethesda, Maryland
SRA International
Sr. member of professional staff
July 1, 2009 – May 1, 2013
Fox Chase Cancer Center
Senior Programmer/Analyst II
October 1, 2000 – June 1, 2009
Fox Chase Cancer Center
Sr. Data Analyst
October 1, 2000 – June 1, 2009
NMF
July 1, 2006 – July 1, 2009
HPC compatible pattern recognition and clustering package
PISCES
June 1, 2002 – July 1, 2002
PISCES has several capabilities in producing subsets of sequences from larger sets: subsets of sequences culled from the entire PDB according to structure quality and maximum mutual sequence identity subsets of sequences culled from a list of PDB chains or PDB entries input by the user, according to structure quality and maximum mutual sequence identity subsets of sequences from user-input lists of GenBank accession numbers, according to maximum mutual sequence identity subsets of sequences from user-input BLAST or PSI-BLAST output; the hits are culled according to mutual sequence identity
Cultural Fit Analysis
The candidate has a strong academic and research background, with significant experience in scientific computing and bioinformatics. The projects listed (PISCES, NMF) align with a research-oriented, data-intensive environment. The transition from a Senior Programmer/Analyst to a Sr. Data Analyst and then Machine Learning Engineer shows adaptability and a focus on data-driven roles. However, the specific technologies used are not explicitly listed, making it difficult to assess alignment with modern data analyst toolsets. The long tenure at Fox Chase Cancer Center suggests stability.
Soft Skills & Operational Fit
The candidate's resume indicates a history of working on complex, collaborative projects (e.g., Rosetta, CASP contests), suggesting an ability to work in team environments. The descriptions of developing client solutions and providing professional advice imply good problem-solving and communication skills, though direct evidence of soft skills is limited.