RICHARD CHIMBA, M.D.

ad4d92@r.postjobfree.com, 615-***-****, LinkedIn

Profile

I am an ambitious graduate student specializing in high-performance computing, data science, and bioinformatics. I am seeking opportunities to expand my interdisciplinary skills and contribute to groundbreaking research in computational biology and data science. My goal is to leverage machine learning to enhance the comprehension of biological systems and advance at the intersection of medical science and technological innovation.

Education

• Tennessee State University, M.S. Computer Science in High performance computing & Bioinformatics concentration, Expected Graduation Date: 12, 2024

• University of Dodoma, Doctor of Medicine, Graduation Date: 11,2019 Experience

• Research Assistant – Tennessee State University. July 2022 – Present. Engaging as an assistant in a wide range of projects in computational biology, genomics, omics, proteomics, structural biology, data analysis, algorithm development, and other related fields can provide varied learning opportunities and skill development.

• General Practitioner – Ndolage hospital. March 2021 – July 2022 As a general practitioner, I provided comprehensive medical care to individuals of all ages, including diagnosing and treating common illnesses and injuries, managing chronic conditions, addressing mental health concerns, providing preventive healthcare, and delivering holistic care.

• Educational provisions volunteer – Tanzania. January 2021 – March 2021. The program, funded by Jhpiego, aimed at reducing AIDS incidence in the Njombe region of Tanzania. My role was to educate the community about male circumcision and AIDS in general, as well as to perform circumcision surgery procedures and provide other medical assistance. Skills & Abilities

· Excellent in interpersonal, communication and teamwork skills.

· Programming Languages: Python, Java, C#

· Background in medicine (immunology, autoimmune diseases, and diseases knowledge)

· Bioinformatics Tools: BLAST, HMMER, Bio python, NCBI Entrez Utilities, EMBOSS, MEMES

· Operating Systems: Linux, Windows, Docker

· Machine Learning: Supervised (deep learning) and Unsupervised algorithms.

· Databases: SQL,SAS

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· Molecular Modeling: Chimera.

· Data Wrangling and Visualization

· Version Control: Git

· Data Analysis: Pandas, NumPy, SciPy4 and Data interpretation.

· Experience in analyzing omics data.

· Next-Generation Sequencing (NGS)

· RNA Sequencing (RNA-Seq)

· Bioinformatics and Computational Analysis

· High-performance computing skills

· Biostatistics knowledge

· Good in statistics, linear algebra, and calculus Projects.

• EXRACTING PROTEIN SEQUENCES ALGORATHIM -September 2023. Presented extraction of protein sequences report at ACM TSU Conference.

• CLASSIFYING DNA BASED NEURAL NETWORKS. - July 2023. Developing a neural network model for DNA sequence classification and prediction. Utilizing Python and TensorFlow to build and train the model. Achieving an accuracy rate of [accuracy] in classifying DNA sequences.

• PROTEIN COMPARATIVE STRUCTURAL ANALYSIS. -March 2022. Conducted a comparative analysis of protein structures using Chimera and PyMOL. Investigated conserved regions, domain arrangements, and structural differences. Presented findings in a research poster at Annual college meeting.

Publications.

• Blood is life - The American Society of Tropical Medicine and Hygiene · Sep 12, 2020.

• Challenges Faced in Pediatric Cardiology during COVID Pandemic: - Journal of Biology and Today's World 2021, Vol.10, Issue 6, 001-002 · Sep 24, 2021. Certifications.

• Python 3 course offered code academy.

• Intermediate Python 3 course offered code academy.

• Learn Java course, offered code academy.

• Finding Hidden Messages in DNA, offered by University of California San Diego

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