Lee Mcdaniel Email & Phone Number

Menlo Park, California, Us

Fremont, California, Us

Fremont, California, Us

I am presently on the collaborations team at Personalis . We work with academic and commercial collaborators on large cohorts in the ctDNA and immuno-oncology space. Our team develops state of the art analytic data science and machine learning methods and applies in them to cancer cohorts; we ultimately hope to translate our findings into a product that will save lives.

Durham, North Carolina, Us

Pediatrics resident in competitive research-focused residency program. Performed diverse clinical duties in inpatient & outpatient pediatric settings, including hematology-oncology, developmental disorders, general pediatrics, hospital medicine. Guided multi-disciplinary teams including nursing, social work, PT, OT, nutrition, and lactation in coordinating optimal patient care.

Philadelphia, Pa, Us

- Developed computational pipeline for performing pediatric cancer Genome WideAssociation Studies (GWAS) on approximately 18,000 individuals.- Developed novel python-based algorithms for distributed-systems based GWASon a large SGE computer cluster- Analyzed hundreds of whole-genome-sequences (NGS) for somatic mutations,germ line variants, and other genetic anomalies underlying pediatric cancers aspart of the TARGET project.- Developed high throughput, low latency C++ based genomic annotation tool toidentify putative regulatory genomic variants.- Developed hand-crafted C algorithm to to statistically test for allele-specific expression of isoforms at extremely large data scales.- Mentored summer students in computer science and biology.- Performed molecular biology lab techniques, including cell culture, western blots,Polymerase Chain Reaction, and siRNA knockdown, to validate computational discoveries in vitro

Philadelphia, Pa, Us

- Developed software to automatically pull hundreds of x-ray images from a clinicalsystem using DICOM protocol; eliminated significant manual labor to optimize research lab workflow.- Performed statistical analysis linking breast cancer associated SNPs with mammogram based breast density metrics- Developed prototype breast tomography 3D reconstruction algorithm and accompanying software using multicore programming and SSE/SIMD compiler intrinsics

Philadelphia, Pa, Us

- Developed RNA Editing analysis pipeline using High Throughput Sequencing(GRO-seq, PRO-seq, RNA-seq, and DNA-seq)- Constructed quantitative algorithms for differentiating biological RNA editingfrom sequencing errors.- Worked with team of veterinarian and osteopathic surgeon researchers on mousegeriatric mouse fracture healing mechanisms- Designed and installed in-lab computer cluster; utilized Penn’s large PGFI computing cluster.- Analyzed Affymetrix microarray data; applied ANOVA, t-tests, GO term saturation, and other methodologies to study fracture healing as it changes with age.

Bethesda, Md, Us

- Designed and build an epigenomics database containing terabytes of RNA-Seq and ChIP-Seq as part of national bioinformatics center- Developed curational tools for internal staff biologist curators- Built high volume cluster computing based epigenomic data analysis pipeline.- Devised novel mathematical signal analysis and comparison algorithms for epigenomic analysis.- Developed low latency servers for providing large data sets to AJAX based clients- Wrote hidden markov model for epigenomic state characterization, capable of analyzing an entire genome in near real-time with high performance multi-threaded SSE code written in C

Paris, Fr

- Initially worked in Devops style trading software development in New York City; changed role internally to R&D team and moved to Paris, France during my employment. - Built software and algorithms for index arbitrage high frequency trading system, trading 1-2 % of global volume daily- Developed multithreaded, low latency, high throughput C++ algorithms for market data, trading, and market simulation- During computer system disruption, crafted python scripts to identify and repair data corruption in scale of minutes in high pressure, million dollar scenarios. - Employed nonlinear entropy-based methods assessing information transfer between equity prices- Utilized quadratic optimization algorithms for machine learning based equity portfolio selection- Developed python and matlab based tools for SQL database management andcluster computing

- Developed web 2.0 style flash interfaces for customer-predictive economic B2B product- Designed interactive interfaces for viewing quantitative and reporting data- Conceptualized information client-side caching methods to speed up user interface response times

Baltimore, Md, Us

- Developed full-stack (SQL, java-based backend, flash frontend) interface for internal educational product initiatives at JHU Center for Educational Resources- Performed digital encoding of analog tapes for library modernization

Doctor Of Medicine - Md

Attended Courses In Fiction Writing

Postgraduate Degree, Pre-Medical Studies

Master Of Engineering - Meng, Computer Science

Bachelor Of Science - Bs, Computer Science

High School Diploma