Summary
Overview
Work History
Education
Skills
Websites
Timeline
Generic

Alberto Cisneros, PhD

Santa Fe

Summary

Highly skilled scientist with a proven track record of leading successful research projects and driving innovative solutions. Possessing deep expertise in experimental design, data analysis, and scientific writing, able to effectively contribute to the advancement of knowledge in the field. Strong focus on collaborative efforts and achieving measurable results allows thriving in dynamic environments. Known for adaptability, critical thinking, and reliability, consistently delivering high-quality work. Proficient in utilizing molecular biology techniques, statistical software, and project management tools, well-equipped to tackle complex challenges and make valuable contributions to any scientific team.

Overview

13
13
years of professional experience

Work History

Senior Scientist II, Antibody Discovery Team

Specifica
09.2023 - 03.2025
  • Designed and executed experiments aimed at deriving target-specific biologicals from naïve antibody libraries using phage and yeast display technology
  • Performed cell-based assays using flow cytometry and a combination of yeast, mammalian, and human cancer cell lines
  • Developed high-throughput characterization assays to rapidly screen populations of monoclonal antibodies in yeast
  • Led client-facing meetings and trained junior scientists
  • Led in-house seminars centered around antibody structure-function, traditional and modern antibody discovery technologies, and immunology as it pertains to library design
  • Simultaneously managed several complex projects, meeting all pertinent milestones.
  • Championed interdisciplinary collaboration across departments, fostering innovation and creative problem-solving among colleagues.
  • Enhanced team performance by providing expert technical training on new equipment and methodologies.

Data Scientist

Strategic Data Solutions LLC
07.2022 - 07.2023
  • Gathered and validated relevant data from online platforms such as Local Logic, which was then used to identify key neighborhood features correlated with increased sales to enhance predictive capabilities
  • Used Python and R to develop complex data analytic models and algorithms, leading to the identification relevant demographics as targets for marketing campaigns in the healthcare industry
  • Performed empirical tests to assess the efficacy of marketing strategies centered around social media outreach and SEO, then leveraged the outcomes to formulate data-informed recommendations, leading to increased sales and customer retention in local chiropractic practices
  • Streamlined data collection methods to minimize analysis errors.
  • Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.

Postdoctoral Fellow, Department of Medicine, Division of Rheumatology

Vanderbilt University
05.2019 - 07.2022
  • Coordinated BLISS IRB and conducted consent interviews with patients in accordance with ICH and GCP guidelines
  • Processed human samples for bio-banking and research leading to the discovery of novel B cell phenotypes in anti-synthetase syndrome and Sjogren’s syndrome
  • Developed a novel B cell expansion methodology for identification and isolation of B cell populations that recognize histidyl-tRNA synthetase via flow cytometry
  • Discovered distinct functional B cell subsets in anti-synthetase syndrome patients that are currently being interrogated for their role in driving autoimmunity
  • Led collaborative efforts at R1 universities aimed at deriving and developing autoantibodies from human PBMCs using both traditional and modern antibody discovery techniques
  • Created tools that drive single-cell transcriptomic analyses and data visualization using R
  • Derived a panel of autoreactive antibodies using single-cell screening
  • Led research teams in discovery of antibodies derived from single-cell type 1 diabetes and Jo-1 synthetase syndrome studies, culminating in sequence analysis and optimization via rational design
  • These antibodies are currently being studied as drivers of autoimmunity in mouse models
  • Established and maintained mammalian cell culture lines for antibody expression
  • Discovered immunoglobulin polymorphisms present in autoimmune B cell receptors that enhance autoantigen recognition by analyzing the immunoglobulin repertoire from antibodies captured using hybridoma technology
  • Expressed autoantibodies and “de-optimized” variants, then characterized their ability to bind to target proteins using ELISA and bio-layer interferometry
  • Established and enacted in silico antibody modeling protocols using Python

Graduate Researcher, Department of Chemical and Physical Biology

Vanderbilt University
09.2012 - 05.2019
  • Served as a mentor for graduate students and research assistants
  • Used Rosetta to interrogate the effects of mutations in the heavy/light chain interface of antibodies on their conformational flexibility and binding affinity to HIV glycoproteins
  • Created methodologies that blend computational modeling, design, and docking of antibody models, as well as evaluation of the relative orientation between the heavy and light chain
  • Expressed antibodies and variants, and characterization of their ability to bind to glycoprotein using ELISA, bio-layer interferometry, SPR, isothermal titration calorimetry, and viral assays
  • Discovered HC/LC interface mutations are critical to orient and rigidify the HC/LC interface to arrange the paratope for optimal interaction with the antigen, thereby affecting antigen binding affinity allosterically
  • Taught classes for Vanderbilt’s Rosetta Workshop 2013-2016

Education

Ph.D. - Chemical And Physical Biology

Vanderbilt University
Nashville, TN
05-2019

Bachelor of Science - Biochemistry

Texas State University
San Marcos, TX
12-2011

Skills

  • Antibody Development
  • Flow Cytometry Analysis
  • High-Throughput Screening Methodologies
  • Mammalian cell and tissue culture
  • Phage display technology
  • Advanced Data Visualization Techniques
  • Scientific communication
  • Problem solving
  • Assay development
  • Immunological assays
  • Experimental design
  • Proficient in Python
  • Data mining

Timeline

Senior Scientist II, Antibody Discovery Team

Specifica
09.2023 - 03.2025

Data Scientist

Strategic Data Solutions LLC
07.2022 - 07.2023

Postdoctoral Fellow, Department of Medicine, Division of Rheumatology

Vanderbilt University
05.2019 - 07.2022

Graduate Researcher, Department of Chemical and Physical Biology

Vanderbilt University
09.2012 - 05.2019

Ph.D. - Chemical And Physical Biology

Vanderbilt University

Bachelor of Science - Biochemistry

Texas State University
Alberto Cisneros, PhD