Engineering Assistant

ALEXIS FOROOZAN

*** **** **** **. *** York, New York 10023 • 301-***-**** • adhr9v@r.postjobfree.com

Summary

Current graduate student at Columbia University in Biomedical Engineering, with a research focus in Neural Engineering. Developed a strong foundation as a biomedical engineer through research experiments at NIH, device fabrication and electrical engineering at USC, and data science (bioinformatics) at Precision for Medicine. Seeking a position as a research associate in neural engineering to employ and expand my skill set.

Education

Columbia University, Fu Foundation School of Engineering September 2020- Fall 2021 Master of Science, Biomedical Engineering Candidate

• Concentration in Biomaterials and Tissue Engineering University of Southern California, Viterbi School of Engineering August 2016- May 2020 Bachelor of Science, Biomedical Engineering

Johns Hopkins University Center for Talented Youth Advanced Linear Algebra Courses

Skills

Laboratory: Experience with PCR, Western blot analysis, Drug assays, CRISPR Cas-9, Cyclic voltammetry, Electrochemical impedance spectroscopy, Photolithography, handling mice (injections, cognitive studies, maze experiments, gavage).

Computer Programming: R program, Matlab, source code management systems such as GitLab Languages: English (Native), Fluent in Farsi, Proficient in Spanish Professional Experience

Columbia University- Laboratory for Neural Engineering and Control September 2020 - Present Graduate Research Assistant

• Working on Alzheimer’s research using mice in a radial maze experiment with incorporation of DREADDS + CNO to investigate the memory of mice over time through LC activation. Precision for Medicine Group May 2019 - Present

Data Science Intern

• Built a source code in R for use in biomarker data management, translational informatics, and biomarker driven clinical research

• Contributed to the advancement of Precision’s technology-based services in Biomarker Data Management by writing code to generate and analyze TCGA data

• Co-authored a paper on Reverse Causal Inferencing on Lung Adenocarcinoma Patients Reveals a Stem cell-like Molecular Subtype associated with pack year history, accepted for publication USC- Biomedical Microsystems Laboratory January 2019- May 2020 Undergraduate Research Assistant

• Wrote two review papers on the novel insertion technique and electrode characterization of fabricated probes by determining the source of cross talk and what factors speed up polymer array delamination.

• Developed and researched new insertion techniques for flexible (parylene C based) brain probes for a more stable and low foreign body response insertion

• Worked to redesign a mold which allows to apply PEG brace to multiple 2D array in parallel at the same time helps the 3D stacking

National Institute of Health (NIH), National Cancer Institute September 2015 – August 2018 Research Assistant

• Researched the mechanism of DNA repair processes by testing different TDP1 and TDP2 inhibitors on TDP1 and TDP2 respectively

• Created test protocol essays to examine the affect and synergetic effects of both TOP and SUMO inhibitors on different cancer cell lines

• Used a polymerase chain reaction to mutate the PIAS4 gene into a plasmid in order to identify the site of neddylation on the K-lysine, for the protein

Awards / Publications

Symposium for Scholarly & Creative Work, Physical Sciences, Math & Engineering at USC April 2019

• Winner of the 2nd prize: Presented research from USC biomedical microsystems lab on 3-Dimensional insertion techniques

Published Paper in the Journal of Clinical Oncology November 2019

• Supporting author on “Causal inferencing of -omics data from The Cancer Genome Atlas: Lung adenocarcinoma tumors for mechanistic disease characterization and feature engineering.”

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