I need to answer this questions in a cover letter:

1. How does your research experience make you an ideal fit for our lab?
2. What will you bring to the lab that is completely unique (in terms of background, experience, skills, etc.)?
3. What are your long-term professional goals, and can we help you accomplish these goals?
4. Why you think you will be exceptionally successful in this role?

check my cv and then answer them:

Education National University of San Marcos, Lima, Peru March 2018-Present
Doctor of Veterinary Medicine (DVM) with Highest Honours Graduation: December 2023
Specialization: Bioinformatics and Medicine Informatics
GPA: 4.0/4.0, AM: 16.0/20.0, Hons: Summa Cum Laude (1/82)
Publications Castillo G, Barrios-Arpi L, Ramos-Gonzalez M, Vidal P, Gonzales-Irribarren A, Ramos-Cevallos
N, Rodr´ıguez JL. Neurotoxicity associated with oxidative stress and inflammasome gene expression
induced by allethrin in SH-SY5Y cells. Toxicology and Industrial Health. 2022 Dec;38(12):777-88.
Gonzales-Irribarren A. gtfsort: a tool to efficiently sort GTF files. bioRxiv. 2023 Oct 25:2023-10.
Software gtfsort: A chr/pos/feature GTF sorter that uses a lexicographically-based index ordering algorithm.
Gonzales-Irribarren A. 2023. [Rust]. Available at: https://github.com/alejandrogzi/gtfsort
bed2gtf: A high-performance BED-to-GTF converter written in Rust. Gonzales-Irribarren A.
2023. [Rust]. Available at: https://github.com/alejandrogzi/bed2gtf
bed2gff: BED-to-GFF3 converter that runs in parallel. Gonzales-Irribarren A. 2023. [Rust]. Available at: https://github.com/alejandrogzi/bed2gff
noel: GTF/GFF per gene non-overlapping exon length calculator. Gonzales-Irribarren A. 2023.
[Rust]. Available at: https://github.com/alejandrogzi/noel
to-trans: A high-performance exon/CDS spliced transcriptome builder from fasta + GTF/GFF.
Gonzales-Irribarren A. 2023. [Rust]. Available at: https://github.com/alejandrogzi/to-trans
stoseq: A portable storage-optimized RNA-seq processing pipeline. Gonzales-Irribarren A. 2023.
[Nextflow, Python]. Available at: https://github.com/alejandrogzi/stoseq
postoga: The post-TOGA processing pipeline. Gonzales-Irribarren A, Hiller M, Kirilenko B. 2023.
[Python]. Available at: https://github.com/alejandrogzi/postoga
Research
Experience
UNAM International Laboratory for Human Genome Research
with Ph.D. Daniela Robles-Espinoza May 2023-Present
Worked on human/dog transcriptional parallelisms in prostate cancer as the lead researcher.
• Conceptualized and initiated the project, proposing a novel methodology to compare transcriptomic profiles in malignancies across two distinct species through genome alignments.
• Designed a HPC-compatible pipeline using Python to post-process gene models inferred from
genome alignments between the dog and human assemblies.
• Created a set of high-performance tools using Rust to address limitations encountered during the
post-processing phase, including parallel converters, transcriptome builders and a sorter tool.
• Significantly enhanced the current understanding of the Canis lupus familiaris genome, correcting previously unreported inaccuracies in gene models, such as the omission of oncogenes (e.g.,
RSF1) and the masking of cancer-related genes by duplicated coordinates (e.g., BCL7B-TBL2).
UPCH Bioinformatics and Molecular Biology Lab
with Ph.D. Mirko Zimic October 2023-December 2023
Worked on The role of the thermodynamic pressure in Lensky’s long-term evolution experiment and
initiated the identification of potential platelet-related molecular markers for accurate tuberculosis
diagnosis.
• Led the ideation and implementation of the code framework for the thermodynamic pressure project. Contributed significantly to the statistical model development, enabling the
re-analysis of over 1,200 bacterial genomes using Python, C++ and Nextflow, available at
https://github.com/alejandrogzi/thermut.
• Collaborated with two Biology undergraduate students to conduct in-depth analysis on mRNA
sequencing data obtained from TB-positive and TB-negative patients in Peru using a storageoptimized RNA-seq pipeline I developed, available at https://github.com/alejandrogzi/stoseq.
• Implemented additional parallel programming pipelines in Python and Nextflow to automate
protein dynamics in three different M. tuberculosis kinases related to pyrazinamide resistance.
UNMSM Biology and Molecular Genetics Lab
with Dr. Lenin Maturrano June 2019-March 2023
Worked on The genomic epidemiology and spatiotemporal spread of SARS-CoV-2 in Peru as the
second author and performed wet-lab procedures.
• Partnered with MSc. Dennis Carhuaricra from the University of Sao Paulo (USP) to establish
the research problem and goals of the project, including the computational modeling requirements, data collection strategies, and the integration of advanced algorithms for analysis and
interpretation.
• Analyzed the history of the SARS-CoV-2 pandemic in Peru from a genomic epidemiology perspective, highlighting significant temporal changes and generating insightful visualizations to
illustrate the findings.
• Standarized several qPCR protocols for gram-negative bacterial isolates, performed short-read
Illumina sequencing, conducted Kirby-Bauer tests and performed bacterial characterization assays to ensure rigorous experimental procedures.
Other Projects Cross-species analysis of human and dog prostate cancer transcriptome
with Ph.D. Daniela Robles-Espinoza and Dr. Lenin Maturrano June 2023-Present
• Conceptualized and initiated the project, proposing a novel methodology to compare transcriptomic profiles in malignancies across two distinct species through genome alignments.
• Identified and documented previously unrecognized errors within the dog gene models, enhancing
assembly completeness and refining cancer-related analyses.
• Applied machine learning to re-classify orthologs using TOGA and several analytic techniques to
interpret the data, fostering a deeper understanding of the cross-species transcriptomic landscape
in prostate cancer.
• Established a complete analysis pipeline to replicate all procedures systematically, using Python
and Nextflow, that includes pre and post-processing phases.
Unraveling the complexity of gene fusions in canine cancers
with Ph.D. Daniela Robles-Espinoza October 2023-Present
• Defined the research problem from scratch, addressing the lack of information concerning gene
fusions and their impact within the spectrum of canine malignancies.
• Examined over 1,300 whole transcriptomes spanning 12 diverse malignancy types and 16 distinct
normal tissues. This extensive analysis aimed to construct an updated catalogue of normal gene
fusions and establish the first public database of gene fusions within the Canis lupus familiaris
species.
• Identified cancer-specific gene-fusions prevalent across various canine malignancies, discerning
distinct gene-fusion events unique to specific cancer types, cross-referencing extensive datasets
of cancer transcriptomes against normal tissue samples.
Neurotoxicity markers induced by allethrin in SH-SY5Y cells
with Dr. Jose-Luis Rodriguez June 2022-October 2022
• Analyzed the mRNA levels from neuroblastoma cells (SH-SY5Y) inflammatory markers, performed the statistical analysis, wrote part of the paper and made all the figures.