a
algomics

Sheraz Ahmad

@algomics

Bioinformatics NGS scRNA seq Multiomics Machine Learning

Pakistán
Inglés, Alemán, Español, Holandés
Parte de la información aparece en idioma inglés.
Sobre mí
Hi, I’m Sheraz CEO of Algomics, a Bioinformatics Researcher and Computational Biologist. I specialize in analyzing complex biological data, including NGS (WGS, WES), RNA-seq, scRNA-seq, and CNV analysis, with a focus on cancer research. I also work on EEG signal analysis and molecular modeling using Python, R, and AI-based tools. I help researchers and students transform raw data into clear, accurate, and meaningful insights for academic and real-world applications.... Lee más

Habilidades

a
algomics
Sheraz Ahmad
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Investigación y resúmenes
I will ngs, rna seq, scrna seq and bioinformatics analysis
DeUSD 60 / proyectoMás información
Modelado estadístico y análisis
I will perform any bioinformatics and machine learning analysis
DeUSD 90 / proyectoMás información

Porfolio

Experiencia laboral

Master Research Scholar

Functional Informatics Lab, National Centre for Bioinformatics, Quaid-i-Azam University • Tiempo completo

Oct 2024 - Present • 1 yr 7 mos

• Developing machine learning-driven bioinformatics tools and workflows for the analysis of NGS data. • Analyzing bulk RNA-seq and single-cell RNA-seq datasets from solid tumors to study cellular heterogeneity and regulatory programs. • Performing scRNA-seq preprocessing, clustering, cell-type annotation, differential expression, and pathway enrichment analyses. • Designing scalable and reproducible RNA-seq pipelines using Python, R, and workflow managers. • Applying integrative analysis strategies to combine transcriptomics with additional molecular and phenotypic data.

Founder and CEO

Algomics • Trabajador autónomo

Jul 2024 - Present • 1 yr 10 mos

• Developed deep learning models to analyze biological data like genomic sequences and histopathology images using CNNs and RNNs. • Conducted biomedical data analysis on large multi-omics datasets,RNA-seq, ChIP-seq, and using advanced machine learning methods. • Built data preprocessing pipelines for NGS data, including quality control, alignment, and variant calling. • Designed and implemented machine learning pipelines for predictive modeling and biomarker discovery, using tools like TensorFlow and PyTorch. • Delivered multiple bioinformatics projects, using tools like Bowtie, STAR, DESeq2, and GATK.

Biological Data Analyst

Deep Omics Vision • Tiempo parcial

May 2023 - May 2024 • 1 yr

• Design and develop data infrastructure and pipelines for collecting, storing, and analyzing biomedical data. • Apply data modeling techniques to design and optimize data structures for efficient querying and analysis. • Responsible for taking high quality cancer datasets from ICGC & TCGA databases. • Develop and deploy data analytics and visualization tools to facilitate data exploration and interpretation by researchers and clinicians. • Stay up to date with the latest advancements in biomedical data management and recommend innovative solutions and technologies.